Senior Data Engineer SQL, Kafka, APIs Gdynia

Diverse CG Sp. z o.o. Sp.k.

Gdynia

On-site

PLN 100,000 - 130,000

Full time

14 days+

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Benefits offered by this job

Private medical care

Co-financing for the sports card

Constant support of dedicated consultant

Job summary

Diverse CG Sp. z o.o. Sp.k. is seeking a skilled data engineer in Gdynia, Poland, to strengthen our team. The successful candidate will work on data sharing across applications, design ETL pipelines, and collaborate with technical teams. Strong knowledge of SQL Server, data modeling, and experience with Kafka are essential. We offer private medical care, sports card co-financing, and dedicated consultancy support.

Qualifications

Strong knowledge of SQL Server.
Very good knowledge of SQL and database programming.
Solid understanding of data modeling concepts.
Hands-on experience with Kafka.
Experience working with APIs.
Good understanding of data and enterprise data landscapes.

Responsibilities

Work on the first phase of enabling data sharing across different applications.
Design, build, and maintain ETL pipelines.
Develop data pipelines integrating multiple data sources and technologies.
Work with data storage solutions and databases, primarily SQL Server.
Apply data modeling principles to support efficient data processing and sharing.
Work with streaming platforms such as Kafka.
Collaborate with technical teams involved in data integration and platform development.

Skills

SQL Server

Database programming (PL/SQL, TSQL)

Data modeling concepts

Kafka

APIs

Data technologies

Tools

DB2

Snowflake

S3 storage

Job description

As a recruitment company, DCG understands that every business is powered by experienced professionals. Our management style and partnership approach enable us to meet your needs and provide continuous support. Due to our ongoing growth and the large number of recruitment projects we undertake for our partners, we are currently looking for:

Responsibilities

Work on the first phase of enabling data sharing across different applications
Design, build, and maintain ETL pipelines
Develop data pipelines integrating multiple data sources and technologies
Work with data storage solutions and databases, primarily SQL Server
Apply data modeling principles to support efficient data processing and sharing
Work with streaming platforms such as Kafka
Understand data structures, data flows, and the overall data landscape
Collaborate with technical teams involved in data integration and platform development

Requirements

Strong knowledge of SQL Server
Very good knowledge of SQL and database programming (PL/SQL, TSQL, or similar)
Solid understanding of data modeling concepts
Hands‑on experience with Kafka
Experience working with APIsGood understanding of data and enterprise data landscapes
Experience working with different data technologies and platforms

Nice to have