Senior Data Engineer
Tech Stack / Keywords
Podsumowanie oferty
The Senior Data Engineer will design, develop, and maintain scalable data solutions using the Azure Data Platform ecosystem with a focus on modern Lakehouse architecture. Key responsibilities include building and optimizing ETL/ELT pipelines and supporting platform modernization in an international environment. The role requires collaboration with technical and business stakeholders to ensure data quality, performance, and security.
Wymagania
- Experience as a Data Engineer working with modern data platforms
- Strong knowledge of Python, SQL, and Apache Spark
- Hands-on experience with Azure Cloud and Azure Databricks
- Experience with Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, and Azure Data Explorer
- Experience in building and maintaining ETL/ELT processes
- Practical knowledge of Delta Live Tables (DLT) and Unity Catalog
- Understanding of Lakehouse architecture and data platform design principles
- Experience with CI/CD and Azure DevOps
- Knowledge of infrastructure automation, monitoring, and logging
- Strong analytical and problem-solving skills
- Ability to work independently, take ownership, and proactively identify areas for improvement
- Strong communication skills and ability to collaborate with technical teams and business stakeholders
- English proficiency at B2+ level, enabling effective communication in an international environment
Obowiązki
- Designing, developing, and maintaining scalable data solutions within the Azure Data Platform ecosystem
- Building and optimizing ETL/ELT pipelines for data ingestion, transformation, and delivery
- Developing data processing solutions using Python, SQL, and Apache Spark
- Working with Azure Databricks, Azure Synapse Analytics, and Azure Data Lakehouse environments
- Developing and maintaining Databricks workflows, Delta Live Tables (DLT), and data orchestration processes
- Supporting platform modernization initiatives, including Unity Catalog adoption and platform upgrades
- Collaborating with Data Architects, analysts, and business stakeholders to translate business requirements into technical solutions
- Ensuring data quality, reliability, performance, and security across the data platform
- Troubleshooting production incidents, performing root cause analysis, and implementing corrective actions
- Contributing to CI/CD, infrastructure automation, monitoring, and logging
- Optimizing data pipelines, storage structures, and processing workloads to improve efficiency and reduce costs
- Supporting data governance and engineering best practices
- Providing reliable data foundations for reporting, analytics, and AI/ML initiatives
- Sharing knowledge and supporting the technical development of the team
Benefity
- 100% remote work
- B2B cooperation with a rate up to 150 PLN/h net
- A comprehensive private medical care package
- Access to the MyBenefit cafeteria platform
- Flexible payment arrangements
- A short 14-day invoice payment term
- Long-term cooperation
Inne informacje
Wyrażam zgodę na przetwarzanie podanych przeze mnie moich danych osobowych przez P&P Solutions Sp. z o.o., z siedzibą przy ul. Pułaskiego 76, 05-510 Konstancin-Jeziorna, w celu realizacji procesu rekrutacyjnego na stanowisko wymienione w otrzymanym ogłoszeniu, zgodnie z przepisami rozporządzenia Parlamentu Europejskiego i Rady (UE) 2016/679 z 27 kwietnia 2016 r. w sprawie ochrony osób fizycznych w związku z przetwarzaniem danych osobowych i w sprawie swobodnego przepływu takich danych oraz uchylenia dyrektywy 95/46/WE (Dz.Urz. UE L 119 z 4.5.2016 r.). Oświadczam, że zostałam/zostałem powiadomiona/powiadomiony o tym, że podanie przeze mnie danych osobowych jest dobrowolne, jak również o tym, że przysługuje mi prawo do cofnięcia niniejszej zgody w każdym czasie, przy czym cofnięcie zgody na przetwarzanie danych osobowych jest równoznaczne z rezygnacją z dalszego udziału w tym procesie rekrutacyjnym.
P&P Solutions
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