Data & Analytics Engineer
Data & Analytics Engineer

Data & Analytics Engineer

Full-Time 45000 - 55000 ÂŁ / year (est.) No home office possible
JCB

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: Enjoy competitive salary, 33 days holiday, onsite gym, and discounts at retailers.
  • 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.
  • Other info: Flexible team environment with opportunities for personal and professional growth.

The predicted salary is between 45000 - 55000 ÂŁ 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.

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's 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: JCB

JCB is an exceptional employer that prioritises employee well-being and professional growth, offering a competitive salary alongside generous benefits such as 33 days' holiday, access to an onsite gym, and a Cycle to Work Scheme. Our inclusive work culture fosters collaboration and innovation, making it an ideal environment for Data & Analytics Engineers to thrive while contributing to our transformational journey in global data capabilities.
JCB

Contact Detail:

JCB Recruiting Team

StudySmarter Expert Advice 🤫

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

✨Tip Number 1

Network like a pro! Reach out to current employees at JCB or in the data engineering field on LinkedIn. A friendly chat can give you insider info and might even lead to a referral!

✨Tip Number 2

Prepare for those interviews! Brush up on your SQL skills and be ready to discuss your experience with data pipelines and analytics tools. Practice common interview questions related to data engineering to boost your confidence.

✨Tip Number 3

Showcase your projects! If you've worked on any relevant data projects, make sure to highlight them during your interviews. Bring along examples of your work that demonstrate your skills in building data models and optimising pipelines.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the JCB team!

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

Data Pipeline Design
Data Transformation
SQL
Databricks Lakehouse
PySpark
Spark SQL
Data Quality Assurance
Business Intelligence (BI)
Tableau
PowerBI
CI/CD
Terraform
Data Governance
Stakeholder Communication
Documentation Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data & Analytics Engineer role. Highlight your experience with data pipelines, SQL, and any relevant tools like Databricks to show us you’re the right fit!

Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this opportunity at JCB. Share specific examples of how you've tackled similar challenges in the past and how you can contribute to our transformational journey.

Showcase Your Projects: If you've worked on relevant projects, don’t hesitate to include them! Whether it’s building data models or optimising pipelines, we want to see what you’ve done and how it relates to the role.

Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you get all the updates from us!

How to prepare for a job interview at JCB

✨Know Your Data Tools

Familiarise yourself with the 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 data engineering.

✨Showcase Your Problem-Solving Skills

Prepare examples of how you've tackled complex data challenges in previous roles. Think about specific instances where you designed or optimised data pipelines, and be ready to explain your thought process and the impact of your solutions.

✨Communicate Effectively

Since the role involves working closely with stakeholders, practice explaining technical concepts in simple terms. This will demonstrate your ability to bridge the gap between technical and non-technical teams, which is crucial for driving business value.

✨Prepare Questions

Have a few insightful questions ready to ask your interviewers. This could be about their current data initiatives or how they measure success in the Data & Analytics team. It shows your genuine interest in the role and helps you assess if the company is the right fit for you.

Data & Analytics Engineer
JCB

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