Analytics & Data Engineer

Analytics & Data Engineer

Location: Hybrid – London

Package: Negotiable + Benefits

Core Purpose

To build and maintain scalable data pipelines and platforms, and to analyse and interpret data to generate insights, reports, and recommendations that deliver business value.

Responsibilities

• Data Engineering – Design, build, and maintain ETL/ELT pipelines for ingesting, transforming, and storing data from multiple sources. Ensure data quality, integrity, and reliability through automated testing and validation. Manage and optimise databases, data warehouses, and cloud data environments (e.g. Azure/AWS). Collaborate with Data Operations to ensure platform stability and operational excellence.
• Analytics & Insight – Collect, clean, and analyse structured and unstructured data to identify trends and actionable insights. Develop dashboards and reports using BI tools such as Power BI or Tableau. Communicate findings clearly to both technical and non‑technical audiences. Prepare datasets for AI/ML use cases, including feature engineering, dataset shaping, and data labelling.
• Collaboration & Delivery – Work closely with Data Operations and Data Services leads to balance priorities and resource allocation. Partner with Technical Leads to ensure solutions align with established technical guardrails and best practices. Engage with business stakeholders to understand requirements and translate them into deliverable solutions. Collaborate with Data Scientists and AI Engineers on model deployment, vector database integration, and monitoring.
• Continuous Improvement – Champion a culture of learning, innovation, and process optimisation. Proactively introduce new tools, automation opportunities, and analytical approaches. Explore emerging frameworks and implement practical improvements.
• Governance & Compliance – Ensure all data activities comply with governance, privacy, and security standards. Contribute to data management initiatives, documentation, and best practices.

Qualifications

• Degree in a STEM subject or equivalent experience.
• Strong programming skills (Python, SQL, R, or similar).
• Experience with cloud data platforms (Azure, AWS, GCP) and big data technologies (Spark, Hadoop).
• Knowledge or experience with Denodo is an advantage.
• Proficiency in BI and data visualisation tools (Power BI, Tableau).
• Solid understanding of data modelling, ETL/ELT processes, and database management.
• Analytical mindset with strong problem‑solving and communication skills.
• Ability to work collaboratively across multidisciplinary teams and engage with stakeholders at all levels.
• Commitment to continuous learning and professional development.
• Awareness of modern AI/LLM concepts and the ability to support AI‑ready data engineering of value (not essential).
• Experience shaping data for advanced analytics or ML, including feature extraction and dataset quality checks.

Benefits

• Negotiable basic salary and standard benefits (holiday, company pension, etc.).
• A flexible working methodology: work from home or office as you prefer.
• Central support for professional qualifications.

We are an Equal Opportunity Employer.

#J-18808-Ljbffr…