Data Engineer w Kraków, Polska is listed on Jobeax. Browse 110,000+ vacancies available.
Data Engineers (Mid & Senior) — Krakow (Hybrid) Are you looking to work on modern, high-throughput data platforms without the legacy drag? We are scaling a dedicated Data Engineering team in Krakow to drive a major enterprise cloud consolidation onto a modern GCP & Medallion (Bronze/Silver/Gold) architecture. If you thrive on handling genuinely complex data pipelines, event streaming, and laying the pipeline foundation for future ML & AI workloads, this is for you. What you’ll be doing: Pipeline Engineering: Building & optimizing batch and real-time streams on GCP (BigQuery, Cloud Composer/Airflow, Cloud Run) and Kafka. Modern Transformation & Architecture: Implementing dbt models and Medallion patterns to enable trusted self-service analytics across global business units. Data Quality & Governance: Setting up data contracts, lineage tracking, and observability tools in a high-scale environment. AI & ML Readiness: Supporting feature engineering, pipeline reproducibility, and freshness guarantees for Data Science teams. What we’re looking for: Strong hands-on experience with Python, SQL, and production GCP data tools. Solid background in Apache Kafka (or similar streaming tech) for event-driven ingestion. Experience with dbt and Medallion architecture patterns. Quality-first mindset: observability, data contracts, and SLO monitoring. Comfort working in a high-scale, structured/regulated environment. Why consider this role? Location: Krakow (Hybrid – 3 days in a modern office / 2 days remote). Environment: Direct impact on central data platforms with robust resources and engineering discipline. Comprehensive Perks Package: Competitive bonus, company share plans, Medicover (family/partner), Generali life insurance, Multisport/Multikafeteria, home office setup reimbursement, +3 extra days off (Birthday & volunteering), and continuous learning access (LinkedIn Learning, leadership mentorship).
... Experience in data engineering, data science, or related field. Proficiency with data architecture and data processing tools. Certifications: Azure Associate Data Engineer (DP-203), Databricks Professional Data Engineer, Apache Spark Developer Associate, Professional Data Engineer. Experience with Power BI, DAX, and Tabular ...
Job Description: Data Engineer, LDWH Migration Programme Level: Senior / Mid-Senior Main Responsibilities: Develop and maintain data pipelines using Azure Databricks. Implement ETL processes, ensuring data quality and integrity. Read and comprehend complex SQL stored procedures. Translate architecture direction into engineering ...
... połączeń z systemami poza ekosystem CRM • implementacja mechanizmów kontroli jakości oraz walidacji danych Wymagania • Minimum 4-6 lat doświadczenia na stanowisku Data Engineer, preferencyjnie w sektorze o dużej skali danych • doświadczenie w projektowaniu i modelowaniu struktur danych (hurtownie danych, DataLake-ów) na potrzeby ...
... roli Data Engineer lub podobnej. Doświadczenie komercyjne w pracy w środowisku AWS oraz technologiami Spark, Python i SQL. Praktyczna znajomość architektury Data Mesh oraz rozwiązań do przetwarzania dużych zbiorów danych. Doświadczenie w budowie skalowalnych i wysokowydajnych rozwiązań data engineeringowych w środowisku ...
The Data Engineering team’s mission is to ensure high-quality data to enable data-informed decision-making across Asana. You will build data artifacts that are leveraged by a wide range of stakeholders in the marketing domain, and create frameworks and tooling used by all data and analytics engineering teams. In this role, ...
... in Python. Requirements: Higher education in Computer Science, Mathematics / Statistics, Telecommunications or related. Ability to work with large amounts of data in an operational environment. Experience in data engineering for AI/ML solutions hosted on-prem or in the cloud (preferred GCP). Experience in Data Warehousing ...
We are looking for a Senior Data Engineer to support the design, development, and enhancement of our client’s enterprise data platform. The ideal candidate is a hands-on data engineer with strong experience building data pipelines, integrating data from operational databases, and working with modern cloud data warehouses. ...
... build a more sustainable, more inclusive world. Your Team Insights & Data delivers state-of-the-art Data solutions. Our expertise primarily lies in Cloud & Big Data engineering, where we develop robust systems capable of processing extensive and complex datasets, utilizing specialized Cloud Data services across platforms ...
... Are a Good Candidate If You Have - 7-10 years of experience in data engineering, platform development, and/or large-scale data systems - Proven leadership of engineering teams - Strong hands-on knowledge of modern data platforms such as Databricks - Experience with data pipeline orchestration, data modeling, data quality ...
... in a similar role - Hands-on experience with SQL, Databricks, Python (advanced) - Hands-on experience building scalable data pipelines, processing high-volume data in batch as well as stream for near real-time analytics - Hands-on usage of AI in engineering SDLC. - Experience with Big Data, Data Warehouse, and Data Lake ...
Infrastructure Data Engineer Dołącz do globalnego zespołu naszego klienta pracującego nad zaawansowaną platformą analityczną w obszarze cyberbezpieczeństwa na stanowisko Infrastructure Data Engineer. Lokalizacja: praca w modelu hybrydowym 6 dni na miesiąc z biura w Krakowie Współpraca: B2B O projekcie Zespół Cybersecurity ...
Contract type: B2B Rate: no fixed rate, dependent on candidate’s experience Mode: 100% remote from Poland We are looking for a Senior Data & Infrastructure Automation Engineer with strong expertise in AWS, Matillion, DataOps, and Infrastructure as Code to design, build, and scale highly automated data platform solutions. ...
... beginning. With Hiberus, you can build a long-term career. Opis stanowiska Dla naszego klienta szukamy doświadczonego Senior Data Engineera do projektu z obszaru data engineering, skoncentrowanego na budowie i rozwoju skalowalnych rozwiązań chmurowych. Główne obowiązki : Projektowanie, rozwój i utrzymanie skalowalnych data ...
... min. B2+ , - stawka do 170 zł/h przy B2B w zależności od doświadczenia. Ta oferta jest dla Ciebie, jeśli: - posiadasz doświadczenie komercyjne na stanowisku Data Engineer, - pracowałeś z chmurą publiczną (AWS i/lub GCP i/lub Azure), - masz praktyczne doświadczenie z Apache Airflow, - znasz Databricks i ekosystem Spark, ...
... implementing scalable, production-grade data pipelines, data models, and data processing frameworks in cloud environments., Leading the technical design of cloud data architectures, contributing to standards, guidelines, and long-term platform strategy., Driving best practices in data engineering: quality assurance, lineage, ...
... to set the direction, •Review the work of other engineers and say clearly when something needs reworking, •Stay up-to-date with trends and new technologies in data engineering, , DevOps & Quality, •Work with Terraform, GitHub and CI/CD pipelines across the full deployment lifecycle, •Ensure high standards of data quality, ...
... resolving issues reported through organizational communication channels (Slack, email, OpsGenie) Job requirements At least 5 years of commercial experience in data engineering. Code in Python (65% of tasks in the team) and JVM languages (Java, Kotlin, Scala; 35%). Know about Google Cloud Platform (BigQuery, Composer, Dataproc, ...
... ubezpieczenie na życie Pełna odpowiedzialność za warstwę danych i infrastrukturę - realne decyzje architektoniczne Dostęp do konferencji i szkoleń z obszaru DevOps, data engineering i systemów rozproszonych Jak będzie wyglądać proces rekrutacji Aplikacja – po otrzymaniu CV wracamy z informacją zwrotną Rozmowa wstępna (HR) – wzajemne ...
WYMAGANIA: Minimum 4 lata doświadczenia na stanowisku Data Engineera lub w pokrewnej roli Bardzo dobra znajomość Python oraz SQL Doświadczenie w budowie i utrzymaniu pipeline’ów danych (ETL/ELT) Praktyczna znajomość pracy z danymi ustrukturyzowanymi i nieustrukturyzowanymi (transformacje, normalizacja, przygotowanie) Umiejętność ...