Data Engineer with Python

Posted 7 Days Ago
8 Locations
In-Office or Remote
5-5 Annually
Senior level
Information Technology • Consulting
The Role
The Data Engineer will design and implement data pipelines, databases, and processing systems, ensuring data security and integrity while collaborating with stakeholders.
Summary Generated by Built In

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: 

  • Collaborating with stakeholders to define data requirements and translate them into data acquisition and extraction processes that enhance our data model and business solutions.
  • Designing and implementing data pipelines and data stores to acquire, process, and prepare data.
  • Designing operational data stores to integrate data from multiple sources to support data pipelines and enable additional operations on the data.
  • Installing, configuring, and maintaining data processing systems.
  • Monitoring and optimizing system performance and scalability.
  • Ensuring the security and integrity of data.
  • Properly documenting all solutions and processes.
  • Working on data ingestion and transformation using Kafka and/or Postgres.
 What we expect from you:
  • Experience: 5+ years of proven experience working as a Data Engineer, Software Engineer
  • Databases & Transformation: Solid experience in relational and NoSQL databases, with a focus on data transformation using PostgreSQL
  • Python Skills:  Strong Python programming skills focused on data processing.
  • Software Development: familiar with the SDLC, the concept of acceptance criteria, and test-driven development
  • 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.
  • 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.

Top Skills

Ci/Cd
Git
Kafka
Postgres
Python
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The Company
HQ: Munich
1,742 Employees
Year Founded: 1999

What We Do

intive is a global technology company that combines deep industry expertise, user-centric design, and world-class software engineering. With its human-centric approach, intive creates digital products that empower users, deliver business value, and make an impact on society.

intive has over 24 years of experience innovating with customers across industries, including Technology, Media and Communications, Retail, Automotive, FinTech, and Telecommunications. By focusing on creating sustainable impact through digital products, intive has won the trust of leading brands such as Audi, BASF, BMW, Deichmann, Discovery, Facebook, Tandem, Paramount, and Vorwerk.

Headquartered in Munich, Germany, intive is present across Europe, Asia and the Americas, with a diverse team of +2,000 people

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