Data & Analytics Engineer

Data & Analytics Engineer

Full-Time 50000 - 60000 £ / year (est.) No working from home possible
J C Bamford Excavators Ltd

At a Glance

  • Tasks: Design and optimise data pipelines, transforming raw data into high-quality models.
  • Company: Join JCB, a leader in innovative engineering with a focus on global data capabilities.
  • Benefits: Competitive salary, 33 days holiday, onsite gym, and discounts at high street retailers.
  • Other info: Inclusive culture with excellent career growth opportunities and support for diverse backgrounds.
  • Why this job: Be part of a transformational journey and make a real impact with data.
  • Qualifications: Attention to detail, strong communication skills, and experience in data engineering.

The predicted salary is between 50000 - 60000 £ per year.

The role calls for a self-motivated and result driven Data & Analytics Engineer to join JCB during an exciting time, as we embark on a transformational journey with our global data capabilities. You will own the design, build, and optimisation of reliable data pipelines and well-governed analytical datasets on the Databricks Lakehouse. You will acquire & transform raw data (bronze) into high-quality, BI-ready models (gold), ensure data quality and lineage, and enable fast, secure analytics through SQL warehouses and Unity Catalogues. The ideal candidate will work closely with key business stakeholders and our SI partners to gather requirements, optimise business processes and deliver scalable solutions that drive business value.

What does this role involve day to day?

  • Data Engineering
    • Design and implement batch/streaming pipelines (PySpark, Spark SQL, DLT, Auto Loader) across bronze, silver & gold layers.
    • Implement CDC patterns, incremental loads, tune partitioning, Z Order, OPTIMIZE/VACUUM.
    • Build robust tests (unit/integration), data expectations, and observability (alerts/metrics, runbooks).
    • Orchestrate using Databricks Jobs.
    • Collaborate on CI/CD with Platform (Repos, Git, deployment pipelines, Terraform Jobs/Infrastructure as Code).
  • Analytics Engineering
    • Model curated gold datasets, dimensional models, and semantic layers for BI (Tableau/PowerBI).
    • Optimise SQL Warehouses for performance, concurrency, and cost; maintain versioned metric definitions.
    • Document tables with catalog cards (owner, SLA, lineage, data contracts); enable discoverability.
  • Governance & Security
    • Implement access controls with Unity Catalog.
    • Adhere to naming conventions, tagging standards (owner, environment, cost centre, classification).
    • Participate in access reviews, audit remediation, and privacy/compliance processes.

This will be suited to you if…

  • Great attention to detail and excellent personal standards relating to accuracy and consistency.
  • Be customer-focused and build client relationships.
  • Strong stakeholder communication; ability to translate business needs into value adding data models/pipelines.
  • Documentation mindset (runbooks, catalog cards, readme’s).
  • Have experience of a multinational business and system landscape.
  • Flexible and acting as a positive agent for change.
  • Enjoy working as part of a team.

What happens next?

Ordinarily, our Resourcing Team reviews and shortlists CVs. If shortlisted, you’ll speak to one of our Recruiters to discuss the role further. Our interview process usually consists of an initial team interview followed by an in-person interview. We’ll keep in touch throughout the process but if you have any questions, please get in touch at recruitment@jcb.com.

What’s in it for you?

This is your chance to join a company that values expertise not only in rewards but also in real employee care. At JCB you don’t just get a competitive salary, 33 days’ holiday and access to our company pension—you can also use our onsite gym, in-house doctor and dentist. We have an ULEV car scheme available for our employees too. Then there’s the JCB Rewards Hub, which gives you discounts with high street retailers. Feel like biking to work? There’s our Cycle to Work Scheme. We value diversity and welcome applications from candidates from all backgrounds. We’re committed to ensuring our recruitment process is fair and inclusive. If you face any accessibility challenges with your online application and require additional support, you have the option of speaking to a member of our Recruitment Team who can support you to complete an application in an alternative format. If you would benefit from this support, please email recruitment@jcb.com, and a member of the team will be in touch.

Recruitment Agencies: JCB does not accept any speculative approaches to present candidates for advertised vacancies.

Data & Analytics Engineer employer: J C Bamford Excavators Ltd

JCB is an exceptional employer that prioritises employee well-being and professional growth, offering a competitive salary, 33 days of holiday, and access to unique benefits such as an onsite gym, in-house medical services, and a ULEV car scheme. Our collaborative work culture fosters innovation and inclusivity, making it an ideal environment for Data & Analytics Engineers to thrive while contributing to our transformational journey in global data capabilities.

J C Bamford Excavators Ltd

Contact Details:

J C Bamford Excavators Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data & Analytics Engineer

Tip Number 1

Get to know the company inside out! Before your interview, dive into JCB's values, projects, and culture. This will help you tailor your answers and show that you're genuinely interested in being part of their team.

Tip Number 2

Practice makes perfect! Run through common interview questions related to data engineering and analytics. Think about how your experience aligns with the role and be ready to share specific examples of your work.

Tip Number 3

Don’t forget to ask questions! Prepare a few thoughtful questions about the team, projects, or challenges they face. This shows you're engaged and helps you figure out if JCB is the right fit for you.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it gives you a chance to showcase your enthusiasm for the role right from the start.

We think you need these skills to ace Data & Analytics Engineer

Data Pipeline Design
PySpark
Spark SQL
Databricks Lakehouse
SQL Warehouses
Data Quality Assurance
Business Intelligence (BI) Modelling

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Data & Analytics Engineer role. Highlight relevant experience with data pipelines, SQL, and any tools mentioned in the job description. We want to see how your skills align with what we're looking for!

Showcase Your Projects:Include specific projects where you've designed or optimised data models or pipelines. This gives us a clear picture of your hands-on experience and problem-solving skills. Don't be shy—let your work shine!

Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to highlight your achievements. We appreciate clarity and a well-structured application!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to the right people. Plus, it shows us you're keen on joining our team at JCB!

How to prepare for a job interview at J C Bamford Excavators Ltd

Know Your Data Tools

Familiarise yourself with the specific tools mentioned in the job description, like Databricks, PySpark, and SQL. Be ready to discuss how you've used these technologies in past projects, as this will show your hands-on experience and understanding of the role.

Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled data challenges in previous roles. Think about times when you optimised data pipelines or improved data quality. This will demonstrate your ability to drive business value through effective data engineering.

Communicate Clearly with Stakeholders

Since the role involves working closely with business stakeholders, practice explaining complex data concepts in simple terms. This will help you convey your ability to translate business needs into actionable data models, which is crucial for the position.

Emphasise Your Documentation Mindset

Highlight your experience with documentation practices, such as creating runbooks and catalog cards. Being detail-oriented and having a strong documentation mindset is key for ensuring data governance and security, so be prepared to discuss how you approach this aspect of your work.