Lead Analytics Engineer

Lead Analytics Engineer

Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead a team to design impactful data models and drive data-driven decision-making.
  • Company: Join Domestic & General, a forward-thinking company with a rich legacy.
  • Benefits: Enjoy competitive salary, generous leave, health plans, and career development opportunities.
  • Why this job: Be at the forefront of data transformation and make a real impact in a global company.
  • Qualifications: Experience in data modelling, SQL, Python, and strong communication skills required.
  • Other info: Dynamic hybrid work environment with excellent growth potential.

The predicted salary is between 36000 - 60000 £ per year.

Domestic & General is a company with an ambitious future. We are expanding our horizons and entering new markets and we need your expertise to help make it happen. We are an international company who works with some of the world's most respected and well-known brands of domestic appliances and electronic consumer goods. These opportunities don’t come around often, so this really is a position not to be missed.

About the role

D+G is transforming into a technology-powered product business serving customers around the world. Our products and services rely heavily on compelling digital experiences for our B2B and B2C clients and customers. A key part of this transformation is evolving our data capabilities to enable fast-paced, data-driven decision-making across the business. We’re looking for a Lead Analytics Engineer to help drive this shift—ensuring our data systems are designed not just for access, but for usability and impact. You’ll play a central role in making data intuitive and actionable for both technical and non-technical stakeholders.

In this role, you’ll lead a team of Analytics Engineers to build curated, context-rich data models in Databricks, optimized for reporting and insight generation. This is a critical step in our journey to elevate how data is used across D+G—not just surfacing it, but delivering it in a way that enables quick, accurate, and meaningful decisions at every level of the business. Strong attention to detail, take pride in your work, and ensure that it is always of the highest standard.

Key Responsibilities

  • Lead a team of Analytics Engineers, designing scalable, high-performance data models that support reporting and analytics across multiple business domains.
  • Collaborate with Data Product Owners and Team Leads to translate business priorities into a clear, actionable roadmap for data delivery.
  • Work closely with our Data Engineering team to ensure we’re leveraging Databricks to its fullest potential—building efficient, future-proof data pipelines.
  • Champion engineering best practices, driving consistency, reliability, and innovation across all data builds.
  • Partner with Data Governance and cross-functional stakeholders to identify and resolve source data quality issues, ensuring trust in our data products.
  • Embed strong governance controls in collaboration with our Data Governance team, maintaining high standards of data integrity and compliance.
  • Mentor and develop junior team members, fostering a culture of growth, curiosity, and technical excellence.
  • Advocate for Databricks adoption, promoting its use across the company to unlock new possibilities in data-driven insight.

Knowledge and Expertise

  • Extensive experience with data modelling structures.
  • Strong experience in at least one of SQL, Python, PySpark.
  • Understanding of cloud-based data lake/warehousing technologies. Databricks is ideal but not mandatory.
  • Experience in translating source data into analytically-optimised data models.
  • Ability to understand business priorities and prioritise accordingly.
  • Evidence of the ability to solve multiple problems with a single solution.
  • Ability to break a project down into smaller incremental deliverables.
  • Good communication skills both with senior and junior stakeholders.
  • Understanding of data modelling methods.
  • Ability to prototype and drive forward new technical initiatives.
  • Familiarity with good Data Governance principles.

We offer lots of great benefits! Some of which include:

  • Competitive salary and annual discretionary bonus.
  • 25 days annual leave plus bank/public holidays, as well as an annual option to buy up to 5 additional days of annual leave.
  • Training opportunities as well as clearly defined career progression.
  • Health cash plan – employer funded cover to enable you to claim money back on essential healthcare costs, including dental, optical, physiotherapy and many more. Cover also includes unlimited access to a 24/7 virtual GP service.
  • Attractive company pension scheme.
  • Life assurance – employer funded cover of 4x basic salary.
  • Dedicated online benefit portal offering access to saving and lending facilities, financial wellbeing and support services.
  • Salary Finance – access to savings and borrowing through payroll.
  • Car Leasing – access to a carbon neutral salary sacrifice car leasing scheme, with an all-inclusive monthly cost covering all charge, taxes, insurance, repairs and maintenance on a range of brand new vehicles.
  • Travel Loans – interest free loans to help spread the cost of annual travel tickets.
  • Cycle to Work – tax efficient bike and cycling equipment worth up to £1,000.
  • Health & Wellbeing – discounted gym membership, online virtual workout sessions, online culinary classes.
  • OnHand – Giving you the opportunity to be an Eco & Social volunteer via a handy app. Volunteer individually or in groups to get involved in Youth Mentoring, Food Poverty, Homelessness & Elderly help.
  • Employee Assistance Programme – specialist advice and support on issues such as finance, relationships, illness and family issues.
  • Free Domestic & General protection plan – one free plan each year with access to discounted rates of up to 50% on additional plans, including referrals for family and friends.

If you’re a current D&G employee applying for an internal role, please ensure your Career Profile in Workday is up to date before submitting your application.

Don’t forget to download and attach your Talent Card to showcase your skills and experience. This is a required part of your application.

Domestic & General are an equal opportunities employer which means we treat people fairly. We welcome applications from all suitably skilled persons regardless of their gender, age, race, disability, ethnic background, religion/belief, sexual orientation, gender reassignment or marital/family status.

Please note that we have a thorough referencing process, which includes criminal record checks.

At Domestic & General, we are proud of our 100-year legacy and excited about our future growth plans. We are expanding our horizons, entering new markets and territories internationally and we need your expertise to help us on the journey.

Lead Analytics Engineer employer: Domestic & General Group

Domestic & General is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Wimbledon. With a strong focus on employee growth, we provide extensive training opportunities, a clear career progression path, and a comprehensive benefits package that includes health coverage, generous leave policies, and unique perks like carbon-neutral car leasing and volunteer opportunities. Join us to be part of a forward-thinking team that values your contributions and supports your professional journey.
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Contact Detail:

Domestic & General Group Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Lead Analytics Engineer

✨Tip Number 1

Network like a pro! Reach out to people in your industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.

✨Tip Number 2

Prepare for interviews by researching the company and its culture. Understand their products and services, especially how they use data. This will help you tailor your answers and show you're genuinely interested in the role.

✨Tip Number 3

Practice makes perfect! Do mock interviews with friends or use online platforms. Focus on articulating your experience with data modelling and analytics clearly, as this is key for the Lead Analytics Engineer role.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining our team at Domestic & General.

We think you need these skills to ace Lead Analytics Engineer

Data Modelling
SQL
Python
PySpark
Databricks
Data Pipeline Development
Data Governance
Analytical Optimisation
Problem-Solving
Project Management
Communication Skills
Technical Mentoring
Cloud-Based Data Technologies
Stakeholder Engagement

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the Lead Analytics Engineer role. Highlight your experience with data modelling and any relevant technologies like SQL or Databricks. We want to see how your skills align with our needs!

Showcase Your Achievements: Don’t just list your responsibilities; share specific examples of your past successes. Whether it’s a project you led or a problem you solved, we love to see how you’ve made an impact in previous roles.

Be Clear and Concise: Keep your application straightforward and to the point. Use clear language and avoid jargon unless it’s relevant to the role. We appreciate clarity, and it helps us understand your qualifications better!

Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role there!

How to prepare for a job interview at Domestic & General Group

✨Know Your Data Models

As a Lead Analytics Engineer, you'll need to demonstrate your extensive experience with data modelling structures. Brush up on the latest trends and best practices in data modelling, and be ready to discuss how you've applied these in previous roles.

✨Showcase Your Technical Skills

Make sure you can confidently talk about your experience with SQL, Python, or PySpark. Prepare examples of how you've used these tools to solve complex problems or improve data processes, as this will show your technical prowess and problem-solving abilities.

✨Understand Business Priorities

Be prepared to discuss how you translate business priorities into actionable data strategies. Think of specific instances where you've successfully aligned data projects with business goals, as this will highlight your ability to prioritise effectively.

✨Communicate Clearly

Strong communication skills are key for this role. Practice explaining complex data concepts in simple terms, as you'll need to engage with both technical and non-technical stakeholders. Consider role-playing with a friend to refine your delivery.

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