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Data Engineer

Yeovil
6 months ago
Applications closed

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Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer required by our market leading, award winning, professional services organisation based in Yeovil.
The successful Data Engineer, you'll play a vital role in designing, building, and maintaining sophisticated data pipelines and ensuring the integrity of our clients extensive customer data. Your work will support data-driven decision-making across the business, helping to drive forward key customer insights and analytics.
In this role, you will work closely with cross-functional teams to deliver high-quality data infrastructure that powers marketing efforts and analytics. Reporting directly into the Head of Data, you will collaborate with a team of experienced data professionals while continuing to develop your expertise in data engineering.
Key Responsibilities

  • Design & Build Data Pipelines: Create and maintain scalable data pipeline architecture that supports business needs.
  • Data Management: Assemble large, complex data sets to meet business and technical requirements.
  • Process Improvement: Identify and implement process enhancements, automate manual tasks, and optimize data delivery.
  • Data Integration: Build ETL infrastructure to ensure smooth data extraction, transformation, and loading.
  • Collaboration: Work alongside stakeholders, including data scientists and analysts, to meet data infrastructure needs.
  • Data Quality: Ensure data is clean, accurate, and readily available for reporting and analysis.
  • GDPR Compliance: Maintain data in line with GDPR obligations and support the implementation of retention policies.
  • Documentation & Data Governance: Produce clear documentation to enable efficient data governance and management.
  • Customer Data Management: Manage the "golden record" of customer data, ensuring accurate entity matching and a single customer view.
  • API & Microservices: Build and manage APIs and microservices with a focus on scalable architectures.
    Required Skills & Experience
  • Experience: 3-5 years of hands-on experience with big data tools and frameworks.
  • Technical Skills: Proficiency in SQL, Python, and data pipeline tools such as Apache Kafka, Apache Spark, or AWS Glue.
  • Problem-Solving: Strong analytical skills with the ability to troubleshoot and resolve data issues.
  • Communication: Excellent communication skills for collaborating with technical and non-technical teams.
  • Data Visualization: Experience with tools like Tableau or Power BI.
  • Power BI Skills: Knowledge of DAX, M, and Power Query for data tables and ingestion.
  • Data Structures: Familiarity with XML and JSON data formats.
    Apply today and make an impact with your data engineering expertise!
    This fantastic role comes with a competitive basic salary, an annual bonus, share plans, discounted merchandise, healthcare, gym discount, pension, long service awards, life cover and enhanced family leave to name but a few

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