Data Engineer with Python

intive; Szczecin; On-site; PLN 60,000 - 90,000; Full time

Job summary

A leading tech company in Szczecin is looking for an experienced Data Engineer to work on Data Integration Projects, improve data acquisition processes, and manage data ingestion using Kafka and Postgres. Ideal candidates should have over 5 years of experience, strong SQL and Python skills, and the ability to work in a collaborative environment. Join us to drive innovation in digital experiences!

Qualifications

• 5+ years of proven experience working as a Data Engineer.
• Strong experience with relational and/or NoSQL databases and data transformation.
• Proficiency in writing efficient SQL queries to extract and manipulate data.
• Solid understanding of Data Warehouse architecture and ETL/ELT concepts.
• Strong Python programming skills focused on data processing.
• Experience using GitHub for version control and collaborative development.

Responsibilities

• Working in Data Integration Projects, creating and improving data acquisition processes.
• Ensuring that all solutions and processes are properly documented.
• Working on data ingestion and transformation, using Kafka and/or Postgres.

Skills

Data Engineering

SQL

Python

Data Transformation

Communication

Tools

Kafka

Postgres

GitHub

Job description

Join a diverse team of approx. 2000 professionals across four continents, driving innovation and growth within intive’s technology hubs. Work alongside industry experts trusted by leading brands like Audi, BMW, Deichmann, Meta, NewsCorp, Tandem, Paramount, Vorwerk, and Warner Bros. Discovery to create pioneering, sustainable digital experiences.

At intive, agile thinking and deep industry expertise come together across Automotive & Mobility, Commerce, Financial Services, Healthcare & Life Sciences, and Technology, Media & Communication. Be part of a team that’s shaping the future of digital innovation.

What you will be doing:

• Working in Data Integration Projects, creating and improving data acquisition processes and building data extracts that expand the functionality of our data model and solutions for stakeholders.
• Ensuring that all solutions and processes are properly documented.
• Working on data ingestion and transformation, using Kafka and/or Postgres.

You are a good match if you have:

• 5+ years of proven experience working as a Data Engineer
• Databases & Transformation: Strong experience with relational and/or NoSQL databases and data transformation.
• SQL Expertise: Proficiency in writing efficient SQL queries to extract and manipulate data.
• Data Warehousing: Solid understanding of Data Warehouse architecture and ETL/ELT concepts.
• Python Skills: Strong Python programming skills focused on data processing.
• Version Control & CI/CD: Experience using GitHub for version control and collaborative development, including familiarity with CI/CD pipeline.
• Communication: Excellent communication skills and ability to collaborate effectively in English.

Nice to have:

• Industry Knowledge: Experience in the Financial Services or Fintech industry.
• Regulatory Experience: Background in working within regulated environments.
• Streaming & Real-Time Processing: Experience in reading and processing data from Kafka or similar streaming platforms, as well as event-driven architecture and real-time data pipelines.
• Agile Tools: Familiarity with agile tools such as JIRA, Confluence, and Miro.