Analytics Engineer

hackajob; London; Hybrid; GBP 45,000 - 65,000; Full time

Job summary

Join a leading technology team as an Analytics Engineer in London, where you'll transform data into insights. This role covers end-to-end data pipeline management using Python and SQL, focusing on scalability and performance. You'll work on innovative projects to enhance data usability and collaborate closely with cross-functional teams, making a tangible impact on the company's data strategies.

Benefits

25 days annual leave plus bank holidays

Worksave pension scheme with up to 7% employer contribution

Free AA breakdown membership from Day 1

Discounts on AA products including insurance

Employee discount scheme

Company funded life assurance

Learning and development opportunities

24/7 remote GP service for employees

Qualifications

• Proficient in Python and SQL for data workflows.
• Hands-on experience with data pipeline tools like Airflow.
• Strong understanding of normalised and denormalised data structures.

Responsibilities

• Design, build, and maintain automated data pipelines.
• Manage secure data ingestion from third-party APIs.
• Collaborate with analytics teams to deliver insight-ready data.

Skills

Python

SQL

Data modeling

Data ingestion

Data transformation

Tools

Airflow

Databricks

Google BigQuery

Job description

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hackajob is collaborating with The AA to connect them with exceptional tech professionals for this role.

Location: London (hybrid working 3 office days per week)

Employment Type: Permanent, full time

Additional Benefits: Annual Bonus

Join Our Data & Analytics Team: Transforming Data into Our Superpower! Are you passionate about data and eager to make a significant impact?

The AA is a well-loved brand with a range of driver services much wider than most people realise. We have an enviable set of data assets from breakdown, service, repair, insurance, telematics, digital interactions, car dealers, and driving school! If that’s not enough, we’re focused on making Data our new Superpower as one of only 4 strategic priorities for the Group.

Our growing team is modernising our data infrastructure to a cutting-edge cloud platform and enabling machine learning and GenAI. Join us at an exciting time and be part of a team that is driving meaningful change for our customers, colleagues, and shareholders.

We’re seeking a skilled and collaborative Analytics Engineer with strong proficiency in Python and SQL.

This role is ideal for someone who thrives on building efficient, automated data pipelines that power high-performance, user-friendly, and intuitive data solutions.

You’ll be instrumental in designing and maintaining data ingestion and transformation processes; while also shaping data structures to ensure they are accessible and valuable to analysts, dashboards, and stakeholders.

This opportunity goes beyond traditional ETL work - it’s a chance to take ownership of the usability and impact of the data products you create.

You’ll work closely with analytics and BI teams to deliver insights-ready solutions and contribute to our growing data maturity by supporting machine learning initiatives that unlock predictive insights and drive meaningful outcomes.

Design, build, and maintain automated data pipelines using Python and SQL across platforms like Databricks, Google BigQuery, and Airflow.

Manage secure and efficient data ingestion from third-party APIs, ensuring reliability and scalability.

Develop and optimise both normalised and denormalised data models for performance, usability, and accessibility.

Collaborate with analysts and BI developers to deliver well-structured, insight-ready data that meets evolving business needs.

Monitor data quality, resolve incidents, and contribute to robust governance through documentation, testing, and continuous improvement.

Engage with stakeholders to refine requirements, align data solutions with business priorities, and foster a collaborative, learning-focused culture.

Proficient in Python for data engineering workflows and advanced SQL for complex data manipulation.

Hands-on experience with Airflow, Databricks, and Google BigQuery in managing scalable data pipelines.

Skilled in ingesting data via APIs and transforming large datasets efficiently and securely.

Strong understanding of data modelling (normalised and denormalised structures) and performance optimisation.

Effective communicator, able to explain technical concepts to both technical and non-technical audiences. Comfortable in fast-paced, stakeholder-driven environments, with a proactive approach to problem-solving.

Benefits

We’re always looking to recognise and reward our employees for the work they do. As a valued member of The AA team, you’ll have access to a range of benefits including:

25 days annual leave plus bank holidays + holiday buying scheme

Worksave pension scheme with up to 7% employer contribution Free AA breakdown membership from Day 1 plus 50% discount for family and friends

Discounts on AA products including car and home insurance

Employee discount scheme that gives you access to a car salary sacrifice scheme plus great discounts on healthcare, shopping, holidays and more

Company funded life assurance

Diverse learning and development opportunities to support you to progress in your career

Dedicated Employee Assistance Programme and a 24/7 remote GP service for you and your family

Plus, so much more!

We’re an equal opportunities employer and welcome applications from everyone. The AA values diversity and the difference this brings to our culture and our customers. We actively seek people from diverse backgrounds to join us and become part of an inclusive company where you can be yourself, be empowered to be your best and feel like you truly belong. We have five communities to bring together people with shared characteristics and backgrounds and drive positive change.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Software Development

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