* 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 modeling 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.
* 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.
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