At a Glance
- Tasks: Lead the design and evolution of our enterprise data platform for impactful analytics.
- Company: Join SLR, a global leader in Sustainability Solutions with a collaborative culture.
- Benefits: Enjoy competitive salaries, comprehensive benefits, and flexible working options.
- Other info: Be part of a dynamic team making a real difference in sustainability.
- Why this job: Shape the future of data engineering and drive meaningful business outcomes.
- Qualifications: Experience in leading data engineering teams and strong technical skills in SQL and Python.
The predicted salary is between 63000 - 77000 £ per year.
Job Summary
We’re looking for a Data Engineering Lead to provide technical and operational leadership for our data engineering capability, ensuring the platforms, pipelines, and data assets that underpin enterprise reporting and analytics are scalable, trusted, and aligned with long‑term business needs.
This role combines hands‑on technical leadership with strategic ownership of the data engineering function.
You will lead the design and evolution of the data engineering ecosystem, enforce engineering standards and best practices, and guide the delivery of high‑quality data solutions across the organisation.
You’ll work closely with analytics, BI, platform, and business stakeholders to ensure that data is managed as a strategic asset, and that the data platform continues to evolve in support of growing reporting, analytics, digital, and AI‑driven use cases.
Key Responsibilities
- Data Engineering Leadership Own the design and evolution of the enterprise data platform, ensuring it supports current reporting requirements and future analytics, AI, and digital capabilities.
- Partner with enterprise and solution architects to align data engineering solutions with wider technology strategy and architecture standards.
- Drive adoption of modern data architecture approaches, including lakehouse and warehouse patterns, data product thinking, and reusable engineering services.
- Mentor and support data engineers through technical coaching, knowledge sharing, and career development activities.
- Evaluate and recommend new technologies, tooling, and approaches that improve efficiency, reliability, and scalability.
- Delivery & Engineering Excellence
- Oversee the design, development, and operation of data pipelines, transformation frameworks, and curated analytical datasets.
- Ensure robust implementation of data quality, monitoring, observability, operational controls, and governance requirements.
- Lead the delivery of scalable data integration solutions across APIs, event‑driven architectures, batch processing, and file‑based integration patterns.
- Establish and govern engineering practices including CI/CD, automated testing, version control, infrastructure‑as‑code, and technical documentation.
- Drive platform performance, reliability, maintainability, and cost optimisation initiatives.
- Stakeholder Engagement & Data Strategy
- Work closely with analytics, BI, and business stakeholders to understand priorities and translate them into scalable engineering solutions.
- Help shape the enterprise data roadmap and prioritise investments that maximise business value.
- Participate in strategic planning and provide input into data governance, operating models, and capability development.
- Champion data‑driven decision‑making and promote the adoption of trusted, well‑governed data assets across the organisation.
- What We’re Looking For
Essential Experience / Skills
- Significant experience leading the design, development, and operation of enterprise‑scale data engineering platforms and teams.
- Strong technical expertise in SQL and Python, Py Spark, or equivalent technologies for data ingestion, transformation, and validation.
- Experience with Microsoft Fabric or similar modern cloud‑based analytics and data platforms.
- Strong experience designing and governing analytical data models using recognised patterns such as Medallion Architecture, star schema, and snowflake schema.
- Experience leading technical teams, mentoring engineers, and establishing engineering standards and delivery practices.
- Experience developing and implementing data quality, monitoring, governance, security, and operational controls at scale.
- Strong understanding of software engineering principles, including CI/CD, testing, version control, and automation.
- Ability to communicate effectively with senior technical and non‑technical stakeholders and influence decision‑making.
- Experience balancing strategic planning with hands‑on technical leadership and delivery.
Desirable Experience / Skills
- Experience with enterprise business systems such as ERP, HR, and CRM platforms.
- Experience defining data platform roadmaps and leading platform transformation initiatives.
- Experience supporting enterprise reporting and analytics environments with strong governance and regulatory requirements.
- Familiarity with business‑critical domains such as finance, operations, commercial, or people data.
- Experience supporting data platforms intended to enable advanced analytics, machine learning, or AI use cases.
- Experience operating within a product‑based or data‑product delivery model.
- Why Join / Opportunity
- Lead the evolution of a strategically important enterprise data platform.
- Shape the future direction of data engineering within a growing analytics & AI capability.
- Influence architecture, technology choices, engineering standards, and delivery practices across the organisation.
- Develop a high‑performing data engineering function with clear ownership and impact.
- Work with senior stakeholders to drive meaningful business outcomes through trusted and scalable data solutions.
- Help establish the foundations required to support future analytics, AI, and wider digital transformation initiatives.
- Create a lasting engineering capability that enables the organisation to make better decisions through data.
About us
SLR are global leaders in Sustainability Solutions, helping our clients achieve their sustainability goals.
We are a consultancy with 4000+ employees across 6 regions in over 125 countries.
Our ‘one team’ culture is at the heart of our business, providing a collaborative and supportive environment for professional development.
Along with competitive salaries, our staff enjoy a comprehensive benefits package with a company pension plus excellent healthcare offering, travel and life insurance and a structured career framework with regular reviews offering outstanding opportunities for progression.
Alongside 25 day’s annual leave, with additional flexible bank holidays, we offer flexible, agile and hybrid working which enables staff to tailor hours worked around core hours, with family friendly policies help balance the needs of professional and home life.
We’re Making Sustainability Happen.
We don’t have all the answers to the complex sustainability challenges faced by humanity today.
But we’re working on it.
We are a consultancy with 4,500+ employees, working on projects in over 125 countries around the world.
When you join SLR, you’ll work alongside some of the world’s leading advisors and technicians on projects of global importance in the environmental space.
We know sustainability starts from within.
And no matter how good we are today, we can always do better.
We continually work on our internal ethics to set the standard for organisations and reflect the advice we give to clients.
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Data Engineering Lead employer: SLR Consulting
SLR Consulting is an exceptional employer, offering a dynamic work environment in Greater London where you can make a real impact as a Group Accountant. With competitive salaries, comprehensive benefits including healthcare, and a strong focus on career development, employees are empowered to grow and thrive within a mission-driven consultancy that values meaningful contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Lead
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Engineering Lead
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at SLR Consulting, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at SLR Consulting. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at SLR Consulting
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at SLR Consulting!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
