Senior AI Data Engineer - Industrial Azure Data Pipelines

NKT; Sweden; Hybrid; SEK 458,090 - 687,135; Full time

Job summary

NKT is seeking a Senior Data Engineer to build secure Azure-based data platforms for AI across industrial contexts. You will ingest data from shop-floor sensors and enterprise systems, design robust ETL/ELT pipelines, and ensure data quality, governance, and compliant data practices across EU law.

The role blends IT/OT, requires strong Python/SQL skills, and offers hybrid work with travel within the EU. You will collaborate with data scientists and AI governance boards, align solutions to NKT’s

Qualifications

• 5–10 years in data engineering building production grade pipelines and AI engineering platforms.
• Hands-on experience with Azure Fabric or Databricks, plus Python, SQL and PySpark.
• CI/CD with Git/Azure DevOps, including jobs/orchestration and infrastructure as code.
• Data governance skills (lineage, role based access, privacy) and awareness of EU AI Act, GDPR, NIS2.
• Exposure to OT/industrial integration (PLC, MES, IoT, time-series) and edge runtime patterns.
• Experience with systems integration and industrial automation.

Responsibilities

• Build secure ingestion pipelines from PLC/MES/IoT and ERP/PLM into Azure Fabric/Databricks.
• Develop scalable ETL/ELT (batch/streaming), schema evolution and orchestration with CI/CD.
• Implement data quality checks, lineage, access governance and retention policies.
• Enable model integration, feature stores and telemetry for MLOps (MLflow).
• Define SLAs/SLOs, tests and observability for freshness, completeness and latency.
• Design data flows that support edge computing scenarios and low-latency processing.

Skills

Data pipelines

Python

SQL

PySpark

CI/CD

Azure DevOps

Data governance

EU AI Act awareness

Industrial OT integration

Tools

Azure Fabric

Databricks

Git

Job description

NKT is seeking a Senior Data Engineer to build secure Azure-based data platforms for AI across industrial contexts. You will ingest data from shop-floor sensors and enterprise systems, design robust ETL/ELT pipelines, and ensure data quality, governance, and compliant data practices across EU law.

The role blends IT/OT, requires strong Python/SQL skills, and offers hybrid work with travel within the EU. You will collaborate with data scientists and AI governance boards, align solutions to NKT’s