Data Engineering Manager

Diligenta - a subsidiary of Tata Consultancy Services
Peterborough, England
7 months ago
Applications closed

Related Jobs

View all jobs

Specialist Solutions Architect - DE/DWH

Databricks London, United Kingdom

PLC Engineering Manager

Ocado United Kingdom

Engineering Manager - Storage

Databricks London, United Kingdom

Engineering Manager

Quantexa London, United Kingdom
Hybrid

Engineering Manager - Runtime Team

PolyAI London, United Kingdom

Engineering Manager ChatGPT Infra

OpenAI London, United Kingdom
Permanent
Posted
9 Oct 2025 (7 months ago)
Share
Save job
Create job alert

2 days ago Be among the first 25 applicants

Get AI-powered advice on this job and more exclusive features.

Diligenta - a subsidiary of Tata Consultancy Services provided pay range

This range is provided by Diligenta - a subsidiary of Tata Consultancy Services. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from Diligenta - a subsidiary of Tata Consultancy Services

Diligenta's vision is to be acknowledged as Best-in-class Platform-based Life and Pensions Administration Service provider. Customer service is at the heart of everything we do, and our aim is to transform our clients' operations. A business that has been described as ‘home’ by existing employees, we drive a culture that is founded on positive change and development.

Summary of the role:

As a Data Engineering Manager, you will be responsible for the engineering teams in the Data delivery and Data management scopes. These are key positions within the Data office as they provide technical leadership, mentorship and team development, as well as contributing to the development and implementation of our Data strategy.

You will be responsible for organising the team in an efficient and effective manner and prioritising the work to align with organisational priorities. This includes providing technical leadership during development phases, Agile based delivery and engineering best practices.

As in any engineering management position, there will be a certain amount of hands-on work, and so a technical background is required, but the main focus will be the management of the team, workstreams and software lifecycles.

  • 33 days including Bank Holidays
  • Eligibility for an annual discretionary bonus scheme
  • Personal and career development opportunities to progress your aspirations within the company as well as through our global parent company (Tata Consultancy Services)
  • Access to Perks at Work (an online discounted shopping platform) saving you money on a wide range of goods and services, including your weekly food shop, holidays and electrical goods.
  • Cycle to Work Scheme & Interest-free Season Ticket loans.
  • A companywide Wellbeing programme, including an Employee Assistance Programme and other benefits/resources to support your mental/physical and financial wellbeing.
  • A comprehensive set of Moments that Matter policies, such as Carer’s Leave, Foster Leave and Retirement Leave
  • A contributory company pension scheme where we match your contributions up to 6%, Group Life Assurance ('Death in Service') & Group Income Protection

What you’ll be doing:

  • Contribution to, creation and implementation of best practices to coding standards, naming conventions and design briefs.
  • Overseeing coding standards and repository management.
  • Ensuring the correct documentation is created and maintained for all products.
  • Working with the PM and BA tier to estimate work, prioritise and maintain the backlog.
  • Provide Team leadership by setting standards for behaviour and fostering a culture of collaboration and growth.
  • Manage team development plans ensuring each team member has a meaningful technical and career development plan.
  • Work towards the creation, implementation and evolution of competency frameworks for all engineering positions.
  • Lead the engineering team in the design, building and maintenance of scalable and robust pipelines and supporting MS Fabric infrastructure.
  • Carry out strategic planning for team expansion.
  • Work with PM resources to schedule, complete and document post sprint and project retrospectives, ensuring that identified actions are carried out as required.
  • Identify, qualify and implement tooling requirements.
  • Provide high level technical overviews and insights to senior leadership.
  • Provide incident management as required and follow up with comprehensive RCAs.
  • Will help create and implement a DataOps environment.

What we’re looking for:

  • Prior experience in a similar role as either an Engineering Manager, Technical Lead or Senior Engineering position in either a software or data delivery environment.
  • Educated up to at least A-level or equivalent standards.
  • Solid understanding of data governance concepts.
  • Strong Analytical skills.
  • Familiar with data privacy regulations such as GDPR.
  • Knowledge or understanding of ETL/ELT solutions.
  • Knowledge of Relational and non-relational data management systems.
  • Understanding of big data environments.
  • Knowledge of CICD tools and processes.
  • Experience with GIT source safe.
  • Experience of working in an Agile delivery environment.
  • Experience of coaching and developing teams.
  • Software or Data product delivery.

If you need any help or adjustments during the recruitment process, please let us know.

Ready to take the next step in your career? Apply today and become part of our innovative team!

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology
  • IndustriesFinancial Services and Pension Funds

Referrals increase your chances of interviewing at Diligenta - a subsidiary of Tata Consultancy Services by 2x

Sign in to set job alerts for “Engineering Manager” roles.

Peterborough, England, United Kingdom 5 days ago

Kettering, England, United Kingdom 1 day ago

Peterborough, England, United Kingdom 1 week ago

Spalding, England, United Kingdom 1 day ago

Wisbech, England, United Kingdom 3 weeks ago

Thrapston, England, United Kingdom 2 weeks ago

Huntingdon, England, United Kingdom 2 weeks ago

Corby, England, United Kingdom 57 minutes ago

Wisbech, England, United Kingdom 2 weeks ago

Platform Delivery Manager - AI Engineering

Peterborough, England, United Kingdom 2 weeks ago

Corby, England, United Kingdom 57 minutes ago

Peterborough, England, United Kingdom 1 week ago

Cambridgeshire, England, United Kingdom 4 days ago

Peterborough, England, United Kingdom £45,000.00-£50,000.00 4 weeks ago

Ely, England, United Kingdom 2 months ago

Engineering Section Leader - Stand Up Nights

Holbeach, England, United Kingdom 23 hours ago

St Neots, England, United Kingdom 5 days ago

St Neots, England, United Kingdom 6 days ago

Corby, England, United Kingdom 2 hours ago

Oundle, England, United Kingdom 1 month ago

Peterborough, England, United Kingdom 3 months ago

Cambridgeshire, England, United Kingdom 5 days ago

Oundle, England, United Kingdom 4 weeks ago

B2B Engineering and Delivery Assurance Manager - Telecoms Security

Peterborough, England, United Kingdom 6 days ago

Senior Electrical Engineer - Day Shift (Manufacturing)

Corby, England, United Kingdom 1 month ago

Kettering, England, United Kingdom 1 month ago

Peterborough, England, United Kingdom 1 month ago

Peterborough, England, United Kingdom 9 months ago

Peterborough, England, United Kingdom 6 days ago

Peterborough, England, United Kingdom £45,000.00-£50,000.00 19 hours ago

Peterborough, England, United Kingdom 1 month ago

Environmental and Sustainability Manager

Peterborough, England, United Kingdom 1 week ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Products

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.