Data Engineer Jobs Cyprus

Коллеги, если сейчас ищете работу или готовитесь к переходу в Data Engineering, рекомендую канал @dataengineerlab В канале много полезного для подготовки: — разборы Spark, Airflow, Kafka, Iceberg, Greenplum и других инструментов — актуальные вопросы с собеседований в бигтех — советы по резюме и прохождению интервью Автор канала Артем также занимается менторством. Только за июль его ученики получили 9 офферов: пять ребят с нуля зашли в Data Engineering, еще четверо доросли до Middle+/Senior с доходом 320к+. Среди компаний: Альфа-Банк, Т-Банк, X5 и Сбер. Рекомендую заглянуть и подписаться — точно найдете что-то полезное для подготовки: 👉 @dataengineerlab

🙋‍♀️ 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐬 — 𝐥𝐨𝐨𝐤𝐢𝐧𝐠 𝐟𝐨𝐫 𝐲𝐨𝐮𝐫 𝐧𝐞𝐱𝐭 𝐜𝐡𝐚𝐥𝐥𝐞𝐧𝐠𝐞? We're hiring a 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 to help build a scalable cloud-based data ecosystem that powers advanced analytics and business intelligence. 📍 Location: Poland / Romania / Czech Republic/ Cyprus 👨‍💻 What we're looking for: ✔️ 3+ years in 𝐷𝑎𝑡𝑎 𝐸𝑛𝑔𝑖𝑛𝑒𝑒𝑟𝑖𝑛𝑔 ✔️ 𝐴𝑧𝑢𝑟𝑒 𝐷𝑎𝑡𝑎𝑏𝑟𝑖𝑐𝑘𝑠 ✔️ 𝑃𝑦𝑆𝑝𝑎𝑟𝑘 & 𝑆𝑝𝑎𝑟𝑘 𝑆𝑄𝐿 ✔️ 𝐷𝑒𝑙𝑡𝑎 𝐿𝑎𝑘𝑒 & 𝐿𝑎𝑘𝑒ℎ𝑜𝑢𝑠𝑒 architectures ✔️ 𝐴𝑧𝑢𝑟𝑒 𝐷𝑎𝑡𝑎 𝐹𝑎𝑐𝑡𝑜𝑟𝑦 ✔️ Confident 𝐸𝑛𝑔𝑙𝑖𝑠ℎ communication skills 🚀 Join Miratech and work on modern data platforms, cloud technologies, and impactful analytics solutions. 👉 Interested? Apply here: https://smrtr.io/B5-KT

Что говорят участники курса Data Human Первый отзыв - от человека, который в IT 15 лет. Сопровождение, ETL на Oracle/MSSQL/Talend, потом 6 лет системным аналитиком в банке. Сейчас переходит в современный DE: «Я проходил разные курсы, и есть те, от которых прям чувствуется value: понятно объяснено, покрыто основное, материал про то, что реально используется на практике. Этот курс ощущается как раз таким.» Второй - от участницы, которая прошла модуль по отслеживанию МКС (Airflow, ClickHouse): Я наконец-то добралась до второго модуля и доделала его, мне очень понравился материал, вот такая карта получилась. И я ещё добавила dag, определяющий, в каком созвездии МКС пролетает, и вот такой график в аналитику. В модуле на живых данных считаем, над какими странами летит станция, сколько над сушей, сколько над водой. DAG с созвездиями она придумала сама - в задании такого не было. ✨ Курс - практический вход в Data Engineering. Реальные кейсы, а не абстрактные задачки. Платишь один раз - получаешь все модули навсегда, включая будущие. Канал курса: @data_human Сайт: datahuman.net - $50 Вопросы: @storm_de

We're hiring a Senior Data Platform Engineer at TradingView 👀 We're building a platform for reference and master data, the data that sits behind the charts and that more than 100 million users rely on. It comes from dozens of external sources that contradict each other. The job is to turn it into one version you can trust and to get new data out in a couple of days. This is a build role, not a maintenance one. We're putting the platform together almost from scratch on top of existing services, so the engineer will have real influence on the architecture and on the choice of tooling. What matters: strong Python, deep experience with at least one orchestrator like Airflow or Dagster, hands-on experience with dbt and data quality tools, and experience with a data lakehouse. 👉 You can apply on the site https://tradingview.teamtailor.com/jobs/8118268-senior-data-platform-engineer or message me directly on tg @lbertulite.

Senior Data Engineer — CFI Financial Group Limassol, Cyprus · Hybrid · Full-time CFI Financial Group is looking for a Senior Data Engineer to join its team and work on data infrastructure, ETL processes, analytics solutions, and data science tooling for the online trading industry. The role is focused on Python, SQL, data modeling, data quality, ETL development, analytics infrastructure, and collaboration with stakeholders to create business value from data. Main responsibilities: • interpret and analyze complex data-related problems; • conceive, prioritize, and plan data projects aligned with organizational goals; • develop and implement databases, data collection systems, and analytics solutions; • optimize statistical efficiency and data quality; • acquire data from primary and secondary sources; • maintain databases and data systems; • identify, analyze, and interpret trends and patterns in complex datasets; • ensure data quality, accuracy, and integrity; • maintain data science and analytics documentation; • develop ETL processes using Python; • collaborate with team members and stakeholders; • identify opportunities where data can create business value; • develop and implement data science infrastructure, including experiment tracking, feature stores, A/B testing platforms, and related tools. Requirements: • 4+ years of hands-on Python experience; • 4+ years of hands-on SQL experience; • strong knowledge of database design and development; • data modeling; • data mining; • data segmentation; • experience building processes for data transformation; • experience with data structures; • metadata management; • dependency management; • workload management; • Bachelor’s degree in Mathematics, Statistics, Data Science, Computer Science, or a related field; • strong analytical skills; • ability to collect, organize, analyze, and present large amounts of information accurately and effectively. Additional requirements from the job poster: • 4+ years of work experience with SQL; • 3+ years of work experience with Shell Scripting; • 4+ years of work experience with Angular. Nice to have: • Databricks; • Dataflow; • Apache Spark; • Prefect; • MLflow or similar tools; • ML/DL libraries; • experience deploying machine learning or deep learning solutions. Benefits: • competitive salary and benefits package; • work in a fast-growing multinational organization; • collaboration with experienced industry professionals; • supportive and collaborative work environment; • professional growth and development opportunities. Link: https://www.linkedin.com/jobs/view/4440215136/

Вы готовы дети!?😱😱😱😱 Встречаем! Лид дата инженер!🫢🫢 Lead Data Engineer — BlackBull Markets Limassol, Cyprus · On-site · Full-time BlackBull Markets is looking for a Lead Data Engineer to own the data pipelines and infrastructure behind a multi-jurisdiction fintech operation. The role is hands-on and combines architecture, production coding, technical leadership, mentoring, and ownership of data lakes, warehouses, batch pipelines, and real-time processing. Main responsibilities: • set standards for code quality and system design; • own architecture decisions across data lakes and warehouses; • mentor data engineers; • design and optimize batch and real-time pipelines using Python, Go, Airflow, and dbt; • lead schema migrations across different systems; • handle data cleansing and normalization; • provision and manage AWS infrastructure, including S3, Redshift, and RDS; • use Terraform and Ansible for infrastructure automation; • run containerized workloads with Docker and Kubernetes/EKS; • keep Kafka, Redshift, and Kubernetes optimized and available; • implement monitoring and alerting using Sumo Logic and PagerDuty; • select suitable databases across SQL, NoSQL, and graph systems; • optimize queries and data structures for performance. Requirements: • 3–5+ years of experience in data engineering; • strong understanding of distributed systems and modern data architecture; • production-level Python and/or Go; • hands-on experience with Apache Kafka; • AWS Redshift; • Apache Airflow; • dbt; • ETL and ELT experience; • AWS expertise; • solid SQL and NoSQL skills; • MySQL and PostgreSQL experience preferred; • familiarity with Parquet, Avro, Iceberg, and Hudi; • understanding of data security; • understanding of regulatory frameworks such as GDPR. Nice to have: • Scala; • experience in regulated financial services or fintech. Role focus: • technical leadership; • data lakes and warehouses; • batch and real-time pipelines; • trading and customer data at scale; • AWS infrastructure; • Kafka, Redshift, Kubernetes, and monitoring; • architecture ownership from day one. Location: • Dubai or Cyprus; • on-site format. Link: https://www.linkedin.com/jobs/view/4436323079/

Для справки, TradingView -- это торговая платформа-агрегатор аналитики по фин рынкам. То есть вам придется скорее всего парсить аналитику (а ля покупать акции Теслы сегодня или не покупать), агрегировать по бизнесовым запросам компании. Data Engineer — Viaquant Partners Limassol, Cyprus · Full-time Viaquant Partners is looking for a Data Engineer to work with TradingView’s data platform and help transform large volumes of information into clear, reliable insights. The role is focused on Airflow DAGs, SQL optimization, data marts, dbt models, ETL/ELT processes, data platform infrastructure, and architectural decision-making. Main responsibilities: • maintain and develop Airflow DAGs; • optimize and develop SQL queries for data marts; • maintain and evolve the data platform infrastructure; • develop dbt models and migrate existing data marts to dbt; • design, develop, and test ETL/ELT processes; • run proof-of-concept projects, present results, and bring them to production; • participate in architectural decision-making for the data platform; • document technical parts of delivered solutions. Requirements: • 4–5 years of experience as a Data Engineer; • strong Python proficiency, including writing Airflow DAGs; • strong SQL skills; • experience with query optimization; • ability to read query execution plans and improve query performance; • AWS experience; • hands-on experience with Apache Airflow and pipeline design principles; • experience with dbt; • understanding of MPP databases; • hands-on experience with systems such as Redshift, Greenplum, or Vertica; • confident Linux user; • ability to clearly formulate technical specifications and defend technical decisions; • ability to select the right technologies for specific tasks. Nice to have: • Lakehouse architecture experience using Parquet, AWS Athena, and other AWS technologies; • monitoring systems such as Prometheus, Grafana, or Zabbix; • PostgreSQL; • ClickHouse; • Apache NiFi; • experience building and maintaining Docker containers. Benefits: • flexible working hours; • hybrid work format; • well-equipped offices; • global distributed team of 500+ professionals; • learning, mentorship, and long-term career growth; • relocation support; • private health insurance; • performance-based bonuses; • TradingView Premium access; • regular team events and company-wide meetups. Link: https://www.linkedin.com/jobs/view/4443516918/

Data Engineer — Capital.com Limassol, Cyprus · Hybrid · Full-time Capital.com is looking for a Data Engineer to join its data team and contribute to the development and maintenance of data pipelines, data systems, and data infrastructure. The role is focused on data ingestion, transformation, delivery, data modeling, ETL processes, data quality, and infrastructure optimization for analytics and decision-making. Main responsibilities: • design, develop, and maintain data pipelines that ingest, process, and deliver data from various sources; • ensure data quality and reliability; • create and maintain data models for reporting, analytics, and business intelligence; • optimize data structures for performance and efficiency; • implement ETL processes to transform, aggregate, and enrich raw data; • monitor and resolve data quality issues; • implement data validation processes and data governance practices; • manage and optimize data storage, processing, and distribution systems; • ensure scalability and performance of data infrastructure; • collaborate with data scientists, analysts, and cross-functional teams; • document data engineering processes, pipelines, and systems. Requirements: • Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field; • minimum 3 years of experience in data engineering or a related field; • proficiency with one of the following databases: PostgreSQL, Redshift, or Snowflake; • familiarity with PostgreSQL, Redshift, and Snowflake; • experience with dbt; • Apache Airflow for workflow orchestration; • Python for data pipeline development and scripting; • AWS services, including S3, EC2, and EMR; • Kafka for real-time data streaming; • familiarity with Tableau, Power BI, Looker, or similar reporting tools; • Jira or similar project management tools; • ability to collaborate with cross-functional teams; • understanding of business data needs; • strong problem-solving and troubleshooting skills; • critical thinking; • adaptability and willingness to learn new technologies. Benefits: • competitive salary; • work-life balance; • annual leave; • employee referral program; • medical insurance; • pension benefits; • location-specific benefits and perks; • 30 extra workation days to work remotely from anywhere in the world; • 2 additional paid volunteer days per year. Link: https://www.linkedin.com/jobs/view/4440793265/

Data Engineer (Mid-Level) — MWDN Nicosia, Cyprus · Remote · Full-time MWDN is looking for a mid-level Data Engineer to join an international iGaming startup and help build, maintain, and scale its data and analytics platform. The role is focused on ELT pipelines, dbt, Google BigQuery, Python, SQL, data modeling, data quality, and close collaboration with analytics, product, and game teams. Main responsibilities: • build and maintain ELT data pipelines for game and product data; • develop, test, and document dbt models following analytics engineering best practices; • work extensively with Google BigQuery for analytics, optimization, and cost efficiency; • write clean, maintainable Python for data processing and automation; • collaborate with analytics, product, and game teams; • communicate requirements, assumptions, and outcomes clearly; • ensure data quality, reliability, and consistency across datasets; • monitor pipelines and troubleshoot issues; • take ownership of fixes end-to-end; • contribute to data architecture decisions in a fast-paced startup environment. Requirements: • hands-on experience with dbt, including models, tests, and documentation; • experience with Google BigQuery; • solid Python skills for data engineering use cases; • strong SQL skills; • understanding of data modeling concepts; • experience building and maintaining production data pipelines; • familiarity with Git and collaborative development workflows; • strong written and verbal English; • good communication skills; • ability to work effectively with cross-functional teams; • responsible mindset with ownership and accountability; • high motivation to succeed, learn, and grow in a startup environment. Nice to have: • gaming industry experience, including mobile, F2P, online, or real-time analytics; • understanding of event-based data; • experience with funnels, retention, cohorts, and LTV; • data orchestration tools such as Airflow, Prefect, or Dagster; • data ingestion tools such as Fivetran, Airbyte, or similar; • GCP experience beyond BigQuery; • startup or fast-paced environment experience. Project details: • domain: iGaming; • client location: Israel; • company size: 34 employees; • founded in 2022. Hiring process: 1. Recruiter Intro Call 2. Client Interview 3. Technical Test Task 4. Final Client Interview 5. Offer Link: https://www.linkedin.com/jobs/view/4424431533/

Data Engineer — payabl. Limassol, Cyprus · Hybrid · Full-time payabl. is looking for a Data Engineer to join its Data Team and help build scalable data lakehouse solutions, streaming pipelines, and business-ready analytics layers. The role is focused on AWS-based lakehouse architecture, CDC, Kafka, Debezium, Apache Iceberg, PySpark, Airflow, data quality, governance, and medallion architecture. Main responsibilities: • design, build, and maintain scalable data lakehouse solutions on AWS using S3, Apache Iceberg, and AWS Glue Catalog; • contribute to the evolution of bronze, silver, and gold layers in a medallion architecture; • build and support real-time and near-real-time ingestion pipelines; • stream operational data from on-premise databases into AWS using Debezium, Kafka, Kafka Connect, and Iceberg sinks; • monitor and troubleshoot streaming pipelines, connector issues, schema changes, data consistency, and ingestion reliability; • design and implement silver and gold layer datasets; • transform raw operational data into trusted business-ready data products; • work with analysts, analytics engineers, and business stakeholders; • develop and maintain batch and distributed processing jobs using PySpark on AWS EMR and AWS Glue; • optimize transformation jobs for performance, scalability, reliability, and cost efficiency; • build and maintain workflows using Apache Airflow; • support API ingestion, batch processing, and third-party integrations with tools such as Airbyte; • implement data quality checks, validation processes, and reconciliation logic; • contribute to documentation, ownership, lineage, access, and compliance practices; • collaborate on AWS infrastructure and deployment practices; • support infrastructure-as-code workflows using Terraform and Terragrunt. Requirements: • 3+ years of experience in data engineering or related roles; • strong SQL and data modeling experience for analytics and reporting; • strong Python experience, ideally with PySpark; • experience designing and maintaining ETL/ELT pipelines in production; • experience with real-time or near-real-time data ingestion; • Kafka or similar streaming technologies; • CDC concepts and tools such as Debezium; • cloud data lake or lakehouse architecture experience; • AWS data services such as S3, Glue Catalog, Glue Jobs, EMR, and IAM; • Apache Iceberg, Delta Lake, or similar open table formats; • experience designing curated analytics layers such as silver and gold layers; • Apache Airflow, Dagster, or similar orchestration tools; • relational databases such as MySQL, MariaDB, or PostgreSQL; • Unix/Linux and shell scripting; • understanding of data quality, governance, lineage, and production monitoring. Nice to have: • Apache Druid, ClickHouse, Snowflake, Databricks, or other analytical databases and warehouse platforms; • Airbyte or similar data integration tools; • dbt or collaboration with analytics engineering teams; • Terraform and Terragrunt; • Docker and Kubernetes; • Spark optimization on EMR or AWS Glue; • Tableau, Power BI, Superset, or AWS QuickSight; • data observability, alerting, and monitoring tools. Benefits: • Provident Fund after probation; • annual learning budget after probation; • €150 monthly Wolt allowance; • SportsBenefits membership; • possible company car after one year; • complimentary parking near the office; • 25 vacation days plus public holidays; • 10 sick days; • local discount card and event tickets; • free Greek language classes twice a week; • company celebrations and international events. Hiring process: 1. Thinking in Action — 45 minutes 2. Build in Production — 60–90 minutes 3. Final Interview — 45 minutes Location: • remote from Poland or Portugal; • on-site or hybrid in Cyprus. Link: https://www.linkedin.com/jobs/view/4435991330/

Представь, ты - junior DE в нейротех-стартапе Sign System. Продукт DataVision - носимый датчик, который ловит момент, когда человек начинает засыпать, и будит его до микросна. Клиент - Kingsroad, автоперевозчик с 12000 фур. Боль клиента: дальнобойщик засыпает за рулём, и это стоит жизней. Разбудить - не твоя задача, это делает само устройство мгновенно. Твоя задача начинается дальше: данные с каждого датчика улетают в облако, и клиент хочет знать, где риск выше, у кого чаще эпизоды и в какие смены. Это уже аналитика на потоке, и строишь её ты. Этот кейс ты проходишь руками на курсе @data_human. Стек модуля: Приём данных: настраиваем поток сигналов с датчика в реальном времени. Пайплайн: ловим поток через Kafka, сохраняем в ClickHouse и собираем витрину в Metabase. 13 уроков: от ознакомления с данными до продакшн-пайплайна с контролем качества и надёжностью потока. На выходе - DE-скилл. Это один из модулей курса - есть ещё трекер МКС (Airflow, ClickHouse) и другие модули. Курс сейчас стоит 40 долларов - платишь один раз и получаешь все модули, включая будущие. Сайт курса: datahuman.net Канал курса: @data_human Вопросы и оплата: @storm_de

Junior Data Engineer — EY Nicosia, Cyprus · On-site · Full-time EY is looking for a Junior Data Engineer to join its Transformation Realized™ Consulting practice and support clients in designing modern data platforms, building scalable data pipelines, and enabling data-driven decision-making. The role is suitable for candidates with 0–2 years of experience, including internships and academic projects. Main responsibilities: • support the design, development, and maintenance of scalable data pipelines and data architectures; • work with Databricks and Spark-based solutions; • collaborate with data scientists, analysts, and business stakeholders; • assist with data quality, validation, and governance processes; • contribute to code reviews and engineering best practices; • document and optimize end-to-end data flows; • support ETL/ELT development for data ingestion and transformation; • learn and apply cloud-based data engineering practices; • help design and roll out data architecture and infrastructure. Requirements: • Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field; • 0–2 years of relevant experience; • academic or hands-on experience with Databricks, Apache Spark, or distributed processing frameworks; • basic understanding of data modeling; • familiarity with star schemas and fact/dimension tables; • understanding of data warehousing concepts; • SQL and relational database exposure; • familiarity with ETL/ELT concepts and tools; • willingness to learn Azure, AWS, or GCP; • ability to work with structured and unstructured data; • strong problem-solving, communication, and teamwork skills. Nice to have: • Databricks, Delta Lake, notebooks, and workflows; • Azure Data Factory, Synapse, or ADLS; • Python or Scala; • Git; • CI/CD concepts; • Airflow or Azure Data Factory pipelines; • Agile or Lean development methodologies. Benefits: • 13th salary; • Provident Fund; • private medical and life insurance; • hybrid work and flexible schedule; • Friday afternoon off; • EY Tech MBA; • EY MSc in Business Analytics; • EY digital learning certificates; • international mobility programs; • paid sick leave; • paid paternity leave; • yearly wellbeing days off; • maternity, wedding, and new baby gifts; • Employee Assistance Program. Link: https://www.linkedin.com/jobs/view/4432667926/

😍😍😍 С релокацией. Data Engineer — Tribe Лимасол, Кипр · Офис · Полная занятость Tribe ищет опытного Data Engineer для работы в международной iGaming-компании над продуктом, связанным с платежами. Основной фокус роли — разработка и оптимизация ETL/ELT-процессов, проектирование архитектуры данных, интеграция источников и построение аналитических решений. Что предстоит делать: • разрабатывать и оптимизировать ETL-процессы для сбора, обработки и хранения данных; • писать и оптимизировать SQL-запросы; • проектировать и поддерживать архитектуру данных; • интегрировать различные источники данных в единую систему; • участвовать в развитии аналитических решений; • взаимодействовать с командой и бизнес-заказчиками. Требования: • от 3 лет опыта в Data Engineering или Data Analytics; • уверенные знания ClickHouse; • Python; • Docker; • Apache Airflow; • Pandas; • опыт разработки и поддержки ETL/ELT-процессов; • опыт построения аналитических решений; • высокие коммуникативные навыки; • умение работать с техническими командами и бизнес-заказчиками; • высшее образование. Будет плюсом: • Greenplum; • JupyterHub; • VS Code. Условия: • релокационная и визовая поддержка, включая членов семьи; • официальное оформление по законодательству Кипра; • офисный график 5/2; • гибкое начало рабочего дня с 08:00 до 10:00; • зарплата по результатам интервью; • годовой бонус; • оплачиваемые завтраки и обеды; • 21 рабочий день отпуска; • 4 дополнительных day off в году; • внешнее и внутреннее обучение; • частичная компенсация английского и греческого языков; • корпоративные спортивные занятия; • реферальная программа; • мероприятия для сотрудников и членов семьи; • скидки на товары и услуги партнеров; • материальная поддержка в важных жизненных ситуациях; • подарки сотрудникам и их детям; • частичная компенсация аренды после испытательного срока. Ссылка: https://www.linkedin.com/jobs/view/4426495224/

😎😍Еще одна удалёнка... Data Engineer (Mid-Level) — MWDN Nicosia, Cyprus · Remote · Full-time MWDN is looking for a mid-level Data Engineer to join an international iGaming startup and help build, maintain, and scale its data and analytics platform. The role is focused on ELT pipelines, dbt, Google BigQuery, Python, SQL, data modeling, data quality, and close collaboration with analytics, product, and game teams. Main responsibilities: • build and maintain ELT pipelines for game and product data; • develop, test, and document dbt models; • work with Google BigQuery for analytics, optimization, and cost efficiency; • write clean and maintainable Python for data processing and automation; • collaborate with analytics, product, and game teams; • clarify requirements, assumptions, and expected outcomes; • ensure data quality, reliability, and consistency; • monitor pipelines and troubleshoot issues; • take ownership of fixes from investigation to deployment; • contribute to data architecture decisions. Requirements: • hands-on experience with dbt, including models, tests, and documentation; • experience with Google BigQuery; • solid Python skills for data engineering; • strong SQL; • understanding of data modeling concepts; • experience building and maintaining production data pipelines; • familiarity with Git and collaborative development workflows; • strong written and spoken English; • ability to work with cross-functional teams; • ownership and accountability; • motivation to learn and grow in a startup environment. Nice to have: • gaming industry experience; • understanding of event-based data; • experience with funnels, retention, cohorts, and LTV; • orchestration tools such as Airflow, Prefect, or Dagster; • ingestion tools such as Fivetran or Airbyte; • broader GCP experience; • startup or fast-paced environment experience. Hiring process: 1. Recruiter Intro Call 2. Client Interview 3. Technical Test Task 4. Final Client Interview 5. Offer Link: https://www.linkedin.com/jobs/view/4424431533/

Листаешь вакансии DE и видишь незнакомый стек - dbt, ClickHouse, Airflow, CI/CD? Собрал карту навыков для Junior DE: что реально требуют на старте и до какой глубины. Без воды - только то, что нужно, чтобы пройти собес. Это часть моего курса по Data Engineering для новичков - @data_human. Каждый модуль это реальная задача, которую ты решаешь руками, а не теория ради теории. Смотришь вакансии здесь - а подготовиться к ним можешь на курсе. Подписывайся: @data_human Вопросы: @storm_de

Data Engineer — CoreStar Limassol, Cyprus · On-site · Full-time CoreStar is looking for a Data Engineer to work on a high-load in-house platform with multiple third-party integrations, real-time data collection, reporting systems, and performance-critical data flows. The role is focused on ETL/ELT pipelines, CDC ingestion, Kafka/MSK, Debezium, ClickHouse, AWS, S3, infrastructure-as-code, monitoring, alerting, and BI integration. Main responsibilities: • design and maintain scalable ETL/ELT pipelines; • handle CDC ingestion from Amazon RDS/MySQL using Debezium and Kafka; • load and optimize high-throughput data flows into ClickHouse; • tune ClickHouse ingestion, including partitioning, TTLs, and ORDER BY keys; • use Parquet/ORC and partitioning for efficient storage in S3; • integrate datasets into BI systems; • implement monitoring and alerting for data pipelines; • use Git and CI/CD; • manage infrastructure with Terraform or AWS CDK. Requirements: • proven experience building high-throughput data ingestion pipelines; • Kafka/MSK experience; • Debezium or ClickPipes experience; • ClickHouse experience; • understanding of warehouse concepts and architecture; • SQL; • Git; • CI/CD; • Infrastructure-as-Code with Terraform. Nice to have: • AWS Glue, Airflow, and S3; • dbt; • MySQL binlog-based CDC; • BI reporting knowledge; • experience monitoring and tuning ClickHouse; • query optimization; • Node.js. Benefits: • 24 working days of paid annual leave; • 6 paid sick days; • official employment; • medical insurance; • coffee zone with fruit and snacks in the office; • corporate lunch provided by the company; • gym and sports classes; • healthy and friendly work atmosphere. Link: https://www.linkedin.com/jobs/view/4414556885/

Вакансия Дата инженер/Аналитикс инженер🔥 Лимассол, Кипр Рассматриваем кандидатов с релокацией на Кипр 🇨🇾🌊☀️ (релокация семьи, детей, животных оплачивается за счет компании + выплачивается бонус). У сотрудников есть удаленка 2 месяца в год из любой точки мира. Что делать: Превращать бизнес-требования от аналитиков в устойчивые data-модели и витрины (Spark, Iceberg, ClickHouse, dbt), то есть готовить silver/gold слои (итоговые репорты аналитики делают сами). Писать и оптимизировать SQL, обеспечивать качество данных через автотесты, документировать логику и улучшать производительность пайплайнов, работая в тесной связке с аналитиками и дата инженерами. Требования: - SQL (advanced level) - Python - Airflow - dbt - Clickhouse - умение покрывать данные тестами, алертами, мониторингом - понимание, как моделировать данные Плюсом, но не обязательно (это наш стек): - Spark, including PySpark - S3 + Iceberg У нас высоконагруженный видео-стриминг сервис, около 20Тб данных в день, сотни миллионов пользователей, интересный продукт, современный стек, менеджеры, которые по-настоящему «дата дривен», очень крутой офис с завтраками и обедами за счет компании, новая техника apple, валютная зп, куча спортивных плюшек, топ медстраховка, соблюдаем work-life-balance. Пишите МНЕ и откликайтесь на ВАКАНСИЮ.

Data Engineer — Amdocs Vasa Kellakiou, Limassol, Cyprus · Hybrid · Full-time Amdocs is looking for a Data Engineer to design and implement scalable data integration solutions for structured and unstructured data. The role is focused on ETL pipelines, SQL, Python, relational databases, NoSQL databases, graph databases, semantic data modeling, RDF-based solutions, JSON schemas, cloud deployments, DevSecOps, and analysis-ready datasets. Main responsibilities: • design and build ETL pipelines integrating structured and unstructured data sources; • work with relational, NoSQL, and graph databases; • implement semantic data models; • support RDF-based solutions; • develop and maintain JSON schemas and data standards; • collaborate with DevOps teams on cloud deployments; • apply DevSecOps practices across the data lifecycle; • support high-quality, analysis-ready datasets for business stakeholders. Requirements: • proven experience in data engineering; • SQL and ETL development experience; • strong Python programming skills; • experience with NoSQL databases, including document and/or graph databases; • hands-on experience with CI/CD; • Git; • Docker; • Infrastructure as Code; • ability to work in cross-functional enterprise teams. Nice to have: • RDF data formats and SPARQL; • AWS services such as Lambda, Glue, and Step Functions; • Atlassian tools; • experience with SQL queries, ETL jobs, and data pipelines; • command of at least one programming language, such as Python; • DevOps practices, including source code version control, CI, and CD; • university degree in Computer Science, Information Technology, Bioinformatics, Cheminformatics, or equivalent experience; • professional English proficiency. Role focus: • advanced data engineering solutions; • Python, graph databases, and RDF technologies; • scalable and high-quality data pipelines; • cloud deployments; • DevSecOps practices; • semantic data modeling; • knowledge graph solutions; • analysis-ready datasets for decision-making and innovation. Link: https://www.linkedin.com/jobs/view/4381609860/

Data Engineer — Amdocs Vasa Kellakiou, Limassol, Cyprus · Hybrid · Full-time Amdocs is looking for a Data Engineer to design and implement scalable data integration solutions for structured and unstructured data. The role is focused on ETL pipelines, SQL, Python, NoSQL and graph databases, semantic data modeling, RDF-based solutions, JSON schemas, cloud deployments, DevSecOps, and analysis-ready datasets. Main responsibilities: • design and build ETL pipelines integrating structured and unstructured data sources; • work with relational, NoSQL, and graph databases; • implement semantic data models; • support RDF-based solutions; • develop and maintain JSON schemas and data standards; • collaborate with DevOps teams on cloud deployments; • apply DevSecOps practices across the data lifecycle; • support high-quality, analysis-ready datasets for business stakeholders. Requirements: • proven experience in data engineering; • SQL and ETL development experience; • strong Python programming skills; • experience with NoSQL databases, including document and/or graph databases; • hands-on experience with CI/CD; • Git; • Docker; • Infrastructure as Code; • ability to work in cross-functional enterprise teams. Nice to have: • RDF data formats and SPARQL; • AWS services such as Lambda, Glue, and Step Functions; • Atlassian tools; • experience with SQL queries, ETL jobs, and data pipelines; • command of at least one programming language, such as Python; • DevOps practices, including source code version control, CI, and CD; • university degree in Computer Science, Information Technology, Bioinformatics, Cheminformatics, or equivalent experience; • professional English proficiency. Role focus: • advanced data engineering solutions; • Python, graph databases, and RDF technologies; • scalable data pipelines; • modern cloud deployments; • DevSecOps practices; • semantic data modeling; • knowledge graph solutions; • analysis-ready datasets for decision-making. Link: https://www.linkedin.com/jobs/view/4381609860/