Data Engineer Jobs in Mecklenburg-Vorpommern, Germany

Autodoc seeks a Data Engineer to build and maintain data pipelines, ETL processes, and data marts across cloud and on-premise sources. The role involves collecting data from databases, cloud services, and files, validating data quality, and ensuring robust storage solutions using SQL, Airflow, and modern databases.

AUTODOC, Europe's largest auto parts e‑commerce platform, seeks a Data Engineer to build and maintain data pipelines using Airflow, Python, SQL, DBT, and GCP. Responsibilities include constructing ETL workflows, developing data marts, validating data, migrating from Clickhouse to Snowflake, optimizing SQL, and monitoring pipelines. Candidates must have 5+ years experience, strong Python and SQL skills, Airflow and Snowflake expertise, and knowledge of MySQL, MongoDB, DBT, GCP, Docker, Git, and data storage principles.

AUTODOC is Europe's largest auto parts e‑commerce platform. Seeking a Data Engineer to build and maintain data pipelines, ETL, data marts, and migrate from ClickHouse to Snowflake.

AI Models & Alarm Intelligence team at Verisure builds the data infrastructure for next‑generation AI‑driven security products. The Data Engineer designs, builds and maintains cloud‑based pipelines, data lakes and S3 platforms that enable Machine Learning Engineers to train, deploy and monitor AI models across multiple countries.

Data Engineer on Sopra Steria’s Data Platform team, building modern data pipelines in Microsoft Fabric, Azure Synapse and Databricks to empower public and private sector clients. Day‑to‑day you design, optimize and future‑proof end‑to‑end analytics workflows—from data ingestion and modeling to visualization and decision support—while collaborating with cross‑functional teams in Swedish and international environments.

Data Engineer på Sopra Steria i Malmö bygger moderna dataplattformar i Microsoft Fabric, Azure Synapse och Databricks för ledande företag och offentliga organisationer. Rollen innebär att designa, optimera och framtidssäkra hela analyskedjan – från datainsamling och modellering till visualisering och beslutsstöd – i tvärfunktionella teamleveranser.

Data Driven team at Devoteam in Central Copenhagen builds robust data pipelines and modern platforms using Snowflake, Databricks, dbt, and Azure. The Data Engineer designs ingestion, transformation, and delivery workflows, collaborates with client engineers and analysts, and mentors junior engineers.

Data & Infrastructure team at Satair, part of Airbus Services, builds self‑service data tools and scalable cloud pipelines on the Skywise platform. The Data Engineering Specialist optimises backend flows, automates pipelines, and translates analytics into actionable dashboards for business units.

Data Driven unit at Devoteam helps companies turn data into actionable insights. The Data Engineer Consultant builds robust pipelines and modern data platforms using DevOps and CI/CD, while collaborating directly with client engineers and analysts to solve business challenges.

Data Driven unit at Devoteam helps companies gain insights using modern data tools. The Data Engineer builds robust pipelines and modern data platforms, collaborates with client engineers, analysts and business users, and mentors junior consultants.

Revenue Operations team at Omnidocs builds a reliable data foundation to power AI, automation, and business decisions. The Data Engineer designs and implements the end‑to‑end data platform, creates ELT pipelines from systems like CRM and marketing tools, and ensures data quality and documentation.

AI team at Flatpay building reliable data pipelines to turn data into measurable business value. Designs, builds and owns batch and streaming pipelines in Databricks using PySpark and SQL, models data for analytics and ML, and integrates external APIs.

Data Engineering practice at VML MAP, a global centre of excellence for hyper‑personalization, seeks a Lead Data Engineer to shape data infrastructure for world‑renowned brands. The role blends hands‑on coding with architectural strategy, guiding a team of engineers, defining standards for GCP, Snowflake, and CRM integrations, and advising clients on data‑driven business value.

Data Engineer on the Open Intelligence team at VML, building the foundational data infrastructure that powers WPP’s global media spend. The role designs, builds, and maintains high‑scale data pipelines, collaborates with product, analysts, and data scientists to deliver reliable, production‑ready components, and drives data governance and quality frameworks.

Build and maintain robust data foundation on Databricks, develop automated pipelines with SQL and Python, strengthen finance processes via accurate data models, equip CFO functions with data tools, lay groundwork for advanced analytics, drive scalable data solutions for Compliance, Reporting, FP&A, ensure data reliability, quality, accessibility across Finance org

VML seeks a Data Engineer to build and maintain data connectors for Open Intelligence, ensuring reliable, scalable pipelines across global media ecosystems. The role involves designing extraction pipelines, pre-aggregating data, integrating APIs, and collaborating with product, analytics, and regional teams to uphold data quality and governance.

Data & Analytics team at Alfa Laval builds enterprise‑wide master data solutions. The Data Engineer designs, implements, and maintains Profisee MDM models, data pipelines, and integration frameworks to ensure high‑quality, consistent master data across the organization.

Data Engineering Team at Implement Consulting Group builds reliable data foundations and analytics platforms for the firm. The Student Data Engineer will support data pipeline development, data modeling, and SQL/Python data transformations while collaborating with senior engineers and consultants.

Data Engineer at If P&C Insurance builds and maintains cloud-based analytics solutions, transforming complex insurance data from Guidewire into scalable, source-aligned products. Works closely with stakeholders and engineers in an agile team, using SQL, Python, Azure, and Databricks to design pipelines, improve data quality, performance, and architecture.

Logistics Data & Machine Learning Platform team at Delivery Hero builds next‑gen logistics intelligence powered by real‑time data and AI. The Data Engineer II designs, builds and scales robust data pipelines, develops CDC ingestion with Debezium, and partners with data scientists to operationalize ML workflows for efficient, sustainable last‑mile delivery. Berlin, hybrid (2 days onsite).