At a Glance
- Tasks: Design and implement robust data pipelines and lead a team of data engineers.
- Company: Join Mott MacDonald, a global leader in engineering and consultancy.
- Benefits: Enjoy private medical insurance, flexible working, and generous holiday allowance.
- Why this job: Shape impactful AI solutions while collaborating with diverse teams on meaningful projects.
- Qualifications: Experience in data engineering, strong communication skills, and proficiency in Python and SQL.
- Other info: Be part of a diverse workforce committed to equality and inclusion.
The predicted salary is between 43200 - 72000 ÂŁ per year.
Mott MacDonald is a global engineering, management, and development consultancy with over 20,000 employees across more than 50 countries and 140+ offices. We work across incredible global industries, delivering exciting work that is defining our future and making an important societal impact in the communities we serve. Our people power our performance â we succeed when they do. With countless opportunities to collaborate, learn, and grow, the possibilities for excellence are as varied as every individual. Whether you want to grow as a subject matter expert or broaden your experience with roles across our international community, you're surrounded by global specialists who want to combine their expertise and champion you to be your best. As a proudly employeeâowned business, we benefit our clients, our communities, and each other, investing in creating the right space for everyone to feel empowered, included, and valued. Whatever your ambition, Mott MacDonald is where people come to be brilliant.
About the Role
Weâre looking for a Senior Data Engineer to help shape and develop our enterprise data architecture. This position is ideal for someone who combines deep technical expertise with strong stakeholder engagement skills. Youâll be delivering the data foundations that enable impactful AI and analytics solutions across our global engineering, consulting, and infrastructure business.
In this role youâll work closely with crossâdisciplinary teams, including data scientists, domain experts, and product managers, to design scalable, secure, and interoperable data systems. Youâll also help establish our enterprise data ontology and lead a small team of data engineers to turn that vision into reality.
What Youâll Do
- Enterprise data pipeline design & optimisation: Design and implement robust data pipelines to map both structured and unstructured data from diverse sources into the enterprise vector store, ensuring highâquality embeddings for downstream retrieval and analysis.
- Ontology and data modelling: Lead the development of semantic data models and domain ontologies to enable data interoperability and traceability across the enterprise.
- Team leadership: Provide technical direction and mentoring for a small team of data engineers, supporting their growth while maintaining delivery velocity.
- HandsâOn engineering: Build, evolve, and maintain scalable, secure data pipelines, APIs, and infrastructure in a modern cloud environment (Azure preferred).
- Stakeholder collaboration: Partner with technical and nonâtechnical stakeholders across business units to gather requirements, align roadmaps, and communicate architecture decisions effectively.
- Governance & best practices: Promote robust data management, including lineage, observability, access control, and compliance with ethical data use.
- Innovation & standards: Stay ahead of industry trends in data architecture, engineering, and metadata/semantic technologiesâand bring them into practice where they add value.
- Enterprise data architecture: Support other groupâwide architects to define and implement data architecture patterns across systems and domains to support analytical, AI, and operational use cases.
What Youâll Bring
- Extensive experience in data engineering and architecture, ideally in complex or regulated enterprise environments.
- Expertise in designing and implementing scalable data architectures using cloud platforms (Azure preferred).
- Excellent communication and stakeholder engagement skillsâable to bridge technical detail and strategic business value.
- Strong experience with data modellingâfrom conceptual to logical and physicalâand familiarity with data catalogues, knowledge graphs, or ontology tools.
- Proven experience managing or mentoring other data engineers.
- Solid programming skills in Python and SQL, and familiarity with tools such as Git, CI/CD workflows, Docker, and Kubernetes.
- Experience with data pipeline orchestration tools (e.g., Dagster) and modern data stack components.
Why Join Us
- Help shape the future of responsible, highâimpact data and AI solutions in infrastructure, engineering, and consulting.
- Work alongside a mature team with a strong mandate to improve data engineering within our organisation.
- Lead and mentor within a collaborative team focused on innovation with purpose.
- Gain exposure to diverse, meaningful projects that create longâterm social and environmental value.
We are actively recruiting a diverse workforce that is reflective of the communities we serve. We recognise that differences in ability, skills and experience are a strength and encourage applications from people of all backgrounds.
UK Immigration
Mott MacDonald Ltd. are not currently offering sponsorship to candidates under the Skilled Worker visa route in the UK. This decision is a consequence of the changes made to the Skilled Worker route by the UK Government in April 2024. We continue to welcome applications from candidates who are eligible for alternative immigration routes in the UK, that do not require sponsorship as a Skilled Worker now or in future.
Agile working
At Mott MacDonald, we believe it makes business sense for you and your manager to choose how you can work most effectively to meet your client, team, and personal commitments. We offer a hybrid working policy that embraces your wellâbeing, flexibility, and trust.
Equality, diversity, and inclusion
We put equality, diversity, and inclusion at the heart of our business, seeking to promote fair employment procedures and practices to ensure equal opportunities for all. We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they can contribute.
Accessibility
We want you to perform your best at every stage in the recruitment process. If you are disabled or need any support to enable you to apply or attend an interview, please contact us at reasonable.adjustments@mottmac.com and we will talk to you about how we can support you.
Benefits
- Health and wellbeing: Private medical insurance for all UK colleagues. Health cash plan to support you with everyday health costs and treatments. Access to Peppy, providing free support from menopause experts for all UK colleagues. A variety of wellbeing support is available through our comprehensive wellbeing program, including access for you and your family. Ability to flex your salary to opt into a wide range of health benefits, many of which can be extended to your family too.
- Financial wellbeing: We match employee pension contributions between 4.5% and 7%. Life assurance equal up to 4Ă your basic salary, with an option to increase the level of cover to 6Ă your salary. Our income protection scheme provides a financial benefit, as well as absence and return to work support due to longâterm illness or injury. Flexible benefits, including increased life assurance cover, critical illness insurance, payroll saving and will writing. As an independently owned business we share the financial success of the business with all our colleagues in various ways including annual bonus schemes.
- Lifestyle: A minimum of 33â35 days holiday each year, inclusive of public holidays and dependent on level, with the ability to buy or sell leave through our flexible benefits programme. Holiday entitlement increased to a minimum of 35 days after 5 years' service. Variety of employee saving schemes and discounts from highâstreet retailers. Enhanced family and carers leave policies, including 26 weeks paid maternity and adoption leave, and two weeks paid paternity/partner leave. Our shared parental leave matches maternity leave meaning we pay up to 24 weeks at full pay. Up to five additional days leave are provided for those with significant caring responsibilities, two of which are paid.
- Learning and development: Primary annual professional institution subscription. A broad range of opportunities to enhance both technical and soft skills through mentoring, formal training, and selfâdevelopment options.
- Networks, communities, and social outcomes: Join a wide range of groups including our Advanced Employee Networks which support our LGBTQ+, gender, race and ethnicity, disability, and parents/carers communities. Make a difference within our communities through our social outcomes.
Apply now or for more information about our application process, contact the recruiter.
Senior Full Stack Engineer in London employer: Mott MacDonald
Contact Detail:
Mott MacDonald Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Senior Full Stack Engineer in London
â¨Tip Number 1
Network like a pro! Reach out to current employees at Mott MacDonald on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for the interview process. This insider info can give you a leg up!
â¨Tip Number 2
Prepare for your interview by researching Mott MacDonald's projects and values. Show how your skills align with their mission and how you can contribute to their exciting work in engineering and consulting. Tailor your answers to reflect their goals!
â¨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online resources to refine your responses. Focus on articulating your technical expertise and stakeholder engagement skills, as these are key for the Senior Data Engineer role.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets noticed. Plus, it shows youâre genuinely interested in joining the Mott MacDonald team. Letâs get you that dream job!
We think you need these skills to ace Senior Full Stack Engineer in London
Some tips for your application đŤĄ
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Data Engineer role. Highlight your relevant experience in data engineering and architecture, especially with cloud platforms like Azure. We want to see how your skills align with what weâre looking for!
Showcase Your Communication Skills: Since this role involves collaborating with various stakeholders, itâs crucial to demonstrate your excellent communication skills. Use examples in your application that show how youâve effectively bridged technical details with strategic business value in the past.
Highlight Leadership Experience: If youâve managed or mentored other data engineers, make sure to mention that! We value team leadership and want to know how youâve supported others in their growth while maintaining delivery velocity.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. Itâs the best way for us to receive your application and get you on our radar quickly!
How to prepare for a job interview at Mott MacDonald
â¨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in Python, SQL, and cloud platforms like Azure. Be ready to discuss your experience with data pipeline orchestration tools and how you've implemented scalable data architectures in the past.
â¨Showcase Your Leadership Skills
Since this role involves mentoring a small team of data engineers, be prepared to share examples of how you've led teams before. Highlight your approach to providing technical direction and supporting team growth while maintaining delivery velocity.
â¨Engage with Stakeholders
Mott MacDonald values strong stakeholder engagement, so come equipped with examples of how you've successfully collaborated with both technical and non-technical stakeholders. Discuss how you gathered requirements and aligned roadmaps in previous projects.
â¨Stay Ahead of Industry Trends
Demonstrate your knowledge of current trends in data architecture and engineering. Be ready to discuss how you've applied innovative practices in your work and how you plan to bring new ideas into the role to add value.