At a Glance
- Tasks: Lead the development of scalable data pipelines and enhance decision-making through insightful reporting.
- Company: Join Menzies, a diverse and inclusive employer with a people-first culture.
- Benefits: Enjoy competitive benefits, career development, and flexible working options.
- Other info: Opportunity for career growth in a supportive and dynamic environment.
- Why this job: Make a real impact by innovating with data and collaborating across teams.
- Qualifications: 5+ years in data engineering with strong SQL and Python skills.
The predicted salary is between 56700 - 69300 £ per year.
Menzies is an equal opportunities employer which means that we recruit, employ, train, pay, and promote regardless of race, religion, national origin, gender, sexual orientation, disability or age. We are building a first-class team and, to do so, we know that we need a diverse mix of talented people doing their best work. If you’re ready to make an impact, lead with purpose, and work in a place where your voice truly matters, keep reading! We have a great opportunity for a Senior Data Engineer to join our team and can be based from any of our Menzies offices.
The purpose of this role is to lead the development and operation of Menzies’ GCP data warehouse, creating a trusted, secure and accessible data foundation that enables insightful reporting, automation and AI, and supports smarter decision-making across the firm.
Why Menzies? At Menzies, our culture is our cornerstone. We blend technical excellence with genuine care for our people and clients. With over 1100 colleagues in the UK, we’ve built a culture based on shared values and mutual respect. Here’s why you’ll love working with us:
- People First: Our work-life balance isn’t just talk. From agile working to generous leave, we create space for what matters to you and this is why we were recognised as one of the Best Places to Work 2024, 2025 and now also 2026.
- Work with Inspiring Clients: You’ll be working with a range of clients so no two days will be the same.
- Collaborate Across The Firm: Working with various people across the firm to raise the profile of Menzies Academy.
- Innovate with Purpose: We’re always looking for better ways to work—leveraging tech, simplifying complexities, and delivering value.
- Empathy at Our Core: We don’t just serve our clients; we build trusted relationships that stand the test of time.
Key Responsibilities
Here’s what you’ll be doing:
- Lead the design and delivery of scalable, resilient data pipelines into BigQuery, integrating data from a wide range of internal systems, APIs, databases, files, webhooks and event streams.
- Shape the engineering approach across Google Cloud Platform (GCP), working with technologies including BigQuery, Cloud Storage, Pub/Sub, Datastream and Cloud Composer/Airflow, alongside Terraform and infrastructure-as-code.
- Set and champion high engineering standards across data modelling, dbt (data build tool) transformations, testing, monitoring, documentation, deployment, version control and cost optimisation.
- Partner with teams across the firm to turn business needs into scalable, reusable data products, bringing together data from external and internal sources such as Companies House, HMRC, Exchange Online, Active Directory, iManage and Dayshape.
- Embed security, governance and data quality by design, ensuring appropriate controls around data lineage, access, GDPR compliance, least-privilege security and the handling of sensitive client, HR, payroll and financial information.
- Provide technical leadership to the wider team, reviewing designs and code, mentoring data engineers and analysts, and helping to strengthen engineering capability across the Innovation Team.
- Enable data to deliver real business value by working with developers and analysts to make warehouse outputs accessible through Power BI, automation workflows, AI agents and internal applications.
- Evaluate technology and integration options, making pragmatic build-versus-buy recommendations that balance business value, security, scalability, supportability and cost.
- Champion data enablement across Menzies, supporting colleagues to confidently access, understand and use data safely and effectively.
- Help shape the Innovation Team roadmap, prioritising strategic, repeatable platforms and solutions that can deliver value across the firm rather than one-off fixes.
Skills, Knowledge & Expertise
What We’re Looking For: We’re looking for an experienced and curious data professional who combines strong technical expertise with a practical, people-focused approach. You’ll be comfortable taking ownership, making sound technical decisions and bringing others with you; whether you’re mentoring colleagues, partnering with stakeholders or turning a complex business challenge into a scalable solution. You don’t need to tick every box. We’re interested in people who can bring the right mix of experience, technical capability and ambition to help us continue developing our data and innovation capability.
What you’ll bring:
- Strong hands-on experience in data engineering, analytics engineering or data platform roles, typically gained over 5+ years, with experience operating at a senior or leadership level.
- Advanced SQL and Python skills and experience using them to build reliable, production-ready data solutions.
- Strong experience with cloud data warehouses, ideally BigQuery, and a good working knowledge of the wider Google Cloud Platform (GCP) ecosystem.
- Experience with modern data engineering tools and practices such as Airflow/Cloud Composer, dbt, Git/GitHub, CI/CD and Terraform or other infrastructure-as-code tooling.
- A solid understanding of data modelling, dimensional modelling, orchestration, testing, data quality and operational monitoring, with a focus on building solutions that are scalable and maintainable.
- Experience designing and operating production-grade data pipelines, integrating data from sources such as APIs, databases, flat files, webhooks and message queues.
- A strong appreciation of data security and governance, including GDPR, role-based access, secrets management and the responsible handling of sensitive information.
- The ability to take an ambiguous business challenge and turn it into a clear, pragmatic technical solution, balancing immediate needs with longer-term value.
- Strong communication and stakeholder skills, with the confidence to make complex technical concepts accessible to non-technical audiences and influence decisions at different levels.
- A collaborative leadership style, with a genuine interest in coaching others, sharing knowledge and raising engineering standards across the team.
Qualifications & experience
A degree or equivalent experience in computer science, data engineering, software engineering, mathematics, statistics or a related technical discipline would be beneficial. Google Cloud, dbt or other relevant data engineering certifications are also welcomed, although practical experience and demonstrable expertise are just as important to us. Experience within professional services, finance, accounting, legal, tax, audit or another regulated environment would be an advantage, but it isn’t essential. Above all, we’re looking for someone who brings ownership, sound judgement and a delivery mindset. You’ll enjoy solving problems, challenging how things are done and finding better ways of working, while maintaining a strong focus on quality, security and risk. The role may involve occasional travel to other Menzies offices for workshops, discovery sessions, implementation support and team meetings.
Job Benefits
Why Join Us? At Menzies, we know that success starts with our people. That’s why we offer:
- Career Development: From learning opportunities to career coaching, we’ll help you achieve your goals.
- Competitive Benefits: Private medical cover, pension matching, and enhanced parental leave, to name a few.
- Flexibility That Works for You: Agile working is embedded in our culture.
- Perks That Go Beyond: From volunteering days to wellbeing initiatives, we care about your whole self.
To find out more about our benefits please read here.
Senior Data Engineer in Woking employer: Menzies LLP
Menzies is an exceptional employer that prioritises diversity and inclusion, fostering a collaborative work culture where every team member can thrive. As a Junior ESG Consultant in our London office, you'll benefit from comprehensive career development opportunities, competitive benefits including private medical cover and enhanced parental leave, and a flexible working environment that supports your personal and professional growth. Join us to make a meaningful impact in the sustainability sector while enjoying perks that promote your overall wellbeing.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Woking
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Menzies LLP.
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We think you need these skills to ace Senior Data Engineer in Woking
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 Menzies LLP, 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 Menzies LLP. 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 Menzies LLP
✨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!
✨Showcase Your Projects
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 Menzies LLP!
✨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.
