Data Analytics Engineer

Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers.

Data Analytics Engineer

Location: Hybrid - London

Package: Negotiable + Benefits

The day to day:

As a Data Analytics Engineer within the Data Team, you will work at the intersection of data engineering and analytics, supporting both Data Operations and Data Services. You will collaborate closely with the Data Operations Lead, Data Services Lead, Technical Lead, and Data Scientist to ensure robust data infrastructure and deliver actionable insights to business stakeholders. This hybrid role provides end-to-end ownership of data workflows, from ingestion and transformation to analysis and reporting, and is central to the team’s ability to respond flexibly to demand.
 

Core Purpose

To build and maintain scalable data pipelines and platforms, while also analysing and interpreting data to generate insights, reports, and recommendations that drive business value and support strategic and operational decision-making.
 

The day to day:

• Data Engineering:

  • Design, develop, and maintain ETL/ELT pipelines for ingesting, transforming, and storing data from multiple sources.

  • Ensure data quality, integrity, and reliability across platforms.

  • Manage and optimise databases, data warehouses, and cloud data environments (e.g., Azure, AWS).

  • Collaborate with Data Ops to ensure operational excellence and platform reliability.

• Data Analytics:

  • Collect, clean, and analyse data to identify trends, patterns, and actionable insights.

  • Develop dashboards, reports, and visualisations using BI tools (e.g., Power BI, Tableau).

  • Support Data Services in delivering analytical solutions to business stakeholders.

  • Communicate findings clearly to both technical and non-technical audiences.

• Collaboration:

  • Work closely with Data Operations and Data Services Leads to balance priorities and allocate resources effectively.

  • Partner with Technical Lead and Data Scientist to ensure solutions align with technical guiderails, best practices, and advanced analytical approaches.

  • Engage with business stakeholders to understand requirements and deliver value-added solutions.

• Continuous Improvement:

  • Champion a culture of learning, innovation, and process optimisation.

  • Stay current with emerging data technologies, analytics methods, and industry trends.

  • Proactively introduce new tools and approaches to improve team capability and business outcomes.

• Governance & Compliance:

  • Ensure all data activities comply with governance, privacy, and security standards.

  • Contribute to data management initiatives and best practices.

About you:

• 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).

• 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 in multidisciplinary teams and engage with stakeholders at all levels.

• Commitment to continuous learning and professional development.

The rewards:

• A negotiable basic salary and all the normal benefits you’d expect (Holiday, company pension etc.)

• A collaborative, open and honest environment that is designed to deliver the best outcomes to our clients and staff

• A flexible working methodology to enable you to be where you need to be, if you don’t need to be in an office then don’t, if you want to be in an office your welcome to use one.

• An environment built around supporting and developing our staff with funding available for relevant professional qualifications.

We are an Equal Opportunity Employer. We take pride in the diversity of our team and seek diversity in our applicants.