Data Engineer

Data Engineer

Reading

12-24 Month Contract

Hybrid

Inside/Outside IR35

Role Responsibilities:

• Proven experience as a Data Engineer working in engineering, manufacturing, or enterprise environments.
• Strong hands-on experience with ETL/ELT development across batch and streaming workloads.
• Skilled in building and maintaining data-streaming pipelines (e.g., Kafka, Spark Streaming, or equivalent).
• Proficiency with Databricks and Apache Spark for large-scale data processing.
• Experience with Hadoop and/or wider Apache ecosystem tools (e.g., Kafka, NiFi, Airflow).
• Strong understanding of Product Data Management (PDM), PLM, and/or engineering data structures.
• Experience integrating data from PDM, PLM, ERP, manufacturing, or other engineering systems.
• Hands-on experience with cloud data platforms (Azure Data Lake, Data Factory, Synapse, or similar).
• Ability to work with structured and unstructured engineering data across product lifecycle processes.
• Comfortable working in secure, regulated, and multi-national environments.

Key Responsibilities:

• Design, build, and optimise data ingestion, transformation, and integration pipelines.
• Implement scalable processing frameworks using Databricks, Spark, Hadoop, and Apache technologies.
• Develop and support real-time and near-real-time data-streaming pipelines for engineering and operational data.
• Integrate engineering datasets across PDM, PLM, ERP, manufacturing, and digital engineering platforms.
• Support modelling and structuring of engineering data in alignment with architectural guidance.
• Assist Data Architects with the implementation of data standards and data models (light ISO 10303 exposure where required).
• Develop data solutions aligned with defined architectural frameworks and security requirements.
• Ensure data quality, lineage, metadata, and governance practices are implemented in all pipelines.
• Collaborate with architects, engineering SMEs, and cross-functional teams to gather requirements and deliver robust data solutions.

Desirable Skills:

• Produce documentation, operational handover materials, and best-practice guidance.
• Troubleshoot, optimise, and maintain performance of cloud-based and distributed data systems.
• Experience with PLM platforms such as Siemens Teamcenter, Windchill, 3DX, or Aras.
• Exposure to ERP systems (SAP, Oracle, IFS, or equivalent).
• Familiarity with manufacturing systems (MES/MOM).
• Working knowledge of engineering data standards (e.g., ISO 10303 / STEP).
• Experience with data cataloguing, metadata management, lineage tools, or governance platforms.
• Understanding of engineering lifecycle processes, digital thread concepts, and systems engineering methodologies.
• Experience in large-scale defence, aerospace, or highly regulated engineering environments.
• Strong communication and stakeholder engagement skills.