Senior Engineer, AI Engineering

NKT

Sweden

Hybrid

SEK 458,090 - 687,135

Full time

14 days+
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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

Hybrid working model is possible. The office site is located in Kladno.

Build secure Azure data platforms for AI

Do you want to shape the data foundation for industrial AI at a global manufacturing company? As a Senior Data Engineer in NKT’s Data & AI organisation, you will build, harden and operate secure data pipelines and platforms that support industrial analytics, computer‑vision solutions, edge‑enabled data processing and advanced AI‑driven insights. You will work across IT/OT boundaries, integrating PLC/MES and enterprise systems into Azure-based data services while ensuring high‑quality, compliant and governed datasets aligned with EU AI Act, GDPR and NIS2 requirements.

Design resilient pipelines for industrial AI workloads

You will design and operate secure ingestion from shop‑floor sensors, PLC/MES and enterprise sources into Azure services, developing robust ETL/ELT (batch and streaming) and curated datasets for AI workloads across time‑series and computer vision.

Your responsibility will be to:

  • 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, enabling low‑latency processing and integration with shop‑floor or near‑machine environments.
  • Work closely with Manufacturing Excellence, Technology teams and the AI Governance Board to align data engineering solutions with standards and operational needs.
  • Collaborate with Data Scientists to support model development, including feature stores, data contracts, telemetry, and MLOps runtimes like MLflow
  • You will document runbooks and contribute to the AI registry, conduct architectural reviews and risk assessments, and align solutions to NKT’s AI strategy and standards.

This role will be based in Kladno, Czech Republic, with hybrid working model. Travel approximately 50 days per year, EU mostly.

Pragmatic collaborator with industrial data mindset

You approach complex industrial data challenges with structure, balancing engineering rigour with practical delivery. You communicate clearly with people from shop‑floor operations to data science, build trust through transparent documentation, and value maintainability and safety in regulated contexts. You are comfortable working across disciplines, take initiative when gaps appear and ask clarifying questions early. You enjoy improving how things are done—testing, observability and governance—so services keep working when requirements change. You are attentive to detail, inclusive in collaboration and mindful of responsible AI practices.

You also have:

  • 5–10 years in data engineering building production grade pipelines and AI engineering platforms
  • Handson 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

Grow NKT’s digital capabilities with compliant AI

NKT is committed to developing a diverse organization and culture where people of diverse backgrounds can grow and are inspired to do their best. We are committed to establishing gender diversity at NKT and encouraging all interested candidates to apply – even if you don’t tick all the boxes described. We believe that a diverse organization enables long-term performance, and that an inclusive and welcoming culture creates a better work environment.

You will join a collaborative international team with opportunities for professional development, knowledge sharing, and cross-functional learning. Expect access to modern tooling, the chance to shape AI engineering standards, and involvement in impactful use cases that improve product quality, efficiency, and safety. This role offers visibility across NKT’s global operations and the space to grow your skills in architecture, governance, and responsible AI.

"As a leader, I’m looking for a person who can set a clear AI architecture, create a supportive environment for the team, and ensure responsible, compliant delivery that brings measurable value to our factories and business lines," says Hiring Manager, Sapna Anand.

Read more about our offer and listen to some voices of NKT Connectors here !

Be aware that personality and cognitive tests might be included in the recruitment process. For inquiries about the recruitment process, please reach out to Global Talent Attraction Specialist, Dejan Zegarac, Dejan.Zegarac@nkt.com. Please note that due to the GDPR regulations we cannot accept any applications via e-mail.

Be a Connector of the green tomorrow!

#LI-DZ1 #LI-Hybrid

About NKT
NKT connects a greener world with high-quality power cable technology and takes centre stage as the world moves towards green energy. NKT designs, manufactures and installs low-, medium- and high-voltage power cable solutions enabling sustainable energy transmission. Since 1891, NKT has innovated the power cable technology building the infrastructure for the first light bulbs to the megawatts created by renewable energy today. NKT is headquartered in Denmark and employs 6,500 people. NKT is listed on Nasdaq Copenhagen and realised a revenue of EUR 3.6 billion in 2025. We connect a greener world. www.nkt.com

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Once accepted, your NKT Onboarding journey begins. Welcome to the team, Connector!

What we offer:

Strong safety culture

Global company & Scandinavian culture

Hightech industry environment

Senior Manager - Head of Technology

Manoj Mittal, Senior Manager – Head of Technology, G3C - highlights the importance of working with skilled colleagues, the freedom to experiment with ideas, and the culture of openness and collaboration that empowers employees to explore new possibilities.

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