Data Engineer

This is how you make an impact as a Data Engineer

In this role, you will design, develop, and operate cloud‑based data pipelines and the enterprise Master Data Repository (MDR) within the Azure ecosystem, enabling high‑quality data flows and data‑driven decision making across the business.

As a Data Engineer, you are responsible for building and maintaining end‑to‑end data solutions that support analytics, operational processes, and system integrations. You translate business and integration requirements into robust data architectures and scalable engineering solutions.

You work closely with Data Architects, Integration Specialists, Data Stewards, and business stakeholders to ensure data quality, consistency, performance, and security across the enterprise. You are part of the BI team, report to the BI Team Lead, and are based in Son.

Your work directly contributes to:

·       Reliable system‑to‑system integrations (ERP, PLM, MES)

·       A trusted enterprise Master Data Repository

·       Improved data availability and performance across the Azure platform

This is what we offer:

You will join a strongly growing, innovative, and project‑driven high‑tech electronics organization with ample room for professional development and impact.

Furthermore, you can expect:

·       Competitive salary aligned with your experience and expertise

·       8% vacation allowance

·       Full‑time employment based on a 40‑hour work week, with hybrid working options, with minimum 3 days in the office

·       27 vacation days, plus 13 ADV days

·       Flexible working hours and the option to work from home (up to two days per week)

·       Travel allowance and an attractive pension scheme

·       Bicycle plan

This is wat you bring to the team

·       Bachelor’s degree or higher in Computer Science, Information Management, Statistics, or a related field

·       Strong experience with SQL and Python for data ingestion and transformation

·       Experience with Azure Databricks (PySpark) and large‑scale data processing

·       Experience building batch and/or streaming pipelines (Azure Data Factory preferred)

·       Hands‑on experience with Data Warehouse, Data Lake, or Lakehouse implementations

·       Solid understanding of Azure data services (ADF, Fabric, ADLS, Databricks, SQL Server, Storage Accounts, Key Vault)

·       Knowledge of data security and governance principles

·       Experience with CI/CD pipelines (Azure DevOps preferred)

·       Experience with data streaming and event‑based architectures is a plus