- Company Name
- Elekta
- Job Title
- Data Engineer ( fixed-term contract)
- Job Description
-
Job Title: Data Engineer (Fixed‑term contract)
Role Summary:
Execute end‑to‑end data pipeline design, development, and optimization for Azure‑based predictive maintenance and intelligence analytics. Partner with cross‑functional stakeholders (data scientists, analysts, hardware/software engineers) to ensure high‑quality, scalable data infrastructure supporting machine‑learning models, real‑time streaming, and business intelligence workloads.
Expectations:
- Deliver functional, maintainable data solutions within a 6‑month maternity cover term, with possibility for extension.
- Act as a technical consultant and clear communicator, translating user requirements into robust data architecture.
- Consistently apply best‑practice CI/CD, performance tuning, and data governance across all data services.
Key Responsibilities:
- Design, build, and maintain Azure Data Factory pipelines, Azure Databricks notebooks, and related Azure services for data ingestion, processing, and transformation.
- Develop and optimize Spark‑based big‑data processing frameworks and real‑time streaming pipelines.
- Manage SQL Server databases, T‑SQL, and SSIS packages to ensure high performance, reliability, and security.
- Create and maintain CI/CD pipelines for automated deployment, testing, and monitoring of data solutions.
- Support deployment of machine‑learning and predictive models on the Azure Analytics platform.
- Develop, maintain, and enhance BI applications (data extraction, ETL, reporting).
- Integrate third‑party data sources to enrich internal data models and support analytics needs.
- Execute data validation, cleansing, and quality assurance to guarantee accuracy and integrity for downstream analytics.
- Provide ad‑hoc analytical support and assist in rapid data exploration for stakeholders.
- Participate in concept‑exploration projects, prototyping new AI/ML infrastructure, and translating domain concepts into reusable, scalable modules.
- Continuously monitor and tune analytics workloads to maximize efficiency and scalability.
Required Skills:
- Proficient with Azure Data Factory, Azure Databricks, Azure SQL, and Azure Analytics services.
- Strong experience developing, deploying, and optimizing Spark pipelines.
- Expertise in SQL Server, T‑SQL, and SSIS for data integration and performance tuning.
- Familiarity with CI/CD tools and practices for data engineering projects.
- Knowledge of real‑time data streaming concepts and tools.
- Ability to integrate data infrastructure with AI/ML workflows (model deployment, feature store, etc.).
- Excellent analytical, problem‑solving, and detail‑oriented mindset.
- Effective communication and stakeholder engagement skills.
Required Education & Certifications:
- Bachelor’s degree in Computer Science, Informatics, Engineering, or a related field (or equivalent practical experience).
- Professional certifications (e.g., Microsoft Certified: Azure Data Engineer Associate) are desirable but not mandatory.
- Prior experience delivering end‑to‑end data pipelines on Azure is required.