Data & Analytics Data Engineer Professional London, GB

IBM
City of London, England
6 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required

Associate Professional Services Consultant Intern 2026

Amazon London, United Kingdom
Permanent

Sr. Staff Security Engineer

Databricks United Kingdom

Data Scientist

Guidant Global London, United Kingdom
£600 – £850 pd On-site Clearance Required

Technical Support Associate

Synthesia London, United Kingdom
Hybrid

Technical Support Associate

Synthesia United Kingdom
Permanent

Forward Deployed AI Engineer (Must be based in Toronto, Canada)

PolyAI United Kingdom
£120,000 – £170,000 pa On-site
Posted
20 Nov 2025 (6 months ago)

At IBM CIC, we provide technical and industry expertise to a wide range of public and private sector clients in the UK.


A career in IBM CIC means you’ll have the opportunity to work with leading professionals across multiple industries to improve the hybrid cloud and AI journey for the most innovative and valuable companies in the world.


You will get the chance to deliver effective solutions, driving meaningful business change for our clients, using some of the latest technology platforms.


Curiosity and a constant quest for knowledge serve as the foundation to success here. You’ll be encouraged and supported to constantly reinvent yourself, focusing on skills in demand in an ever changing market.


You’ll be working with diverse teams, coming up with creative solutions which impact a wide network of clients, who may be at their site or one of our CIC or IBM locations.


Our culture of evolution centres on long-term career growth and development opportunities in an environment that embraces your unique skills and experience.


We offer:

  • Many training opportunities from classroom to e-learning, mentoring and coaching programs and the chance to gain industry recognized certifications
  • Regular and frequent promotion opportunities to ensure you can drive and develop your career with us
  • Feedback and checkpoints throughout the year
  • Diversity & Inclusion as an essential and authentic component of our culture through our policies and process as well as our Employee Champion teams and support networks
  • A culture where your ideas for growth and innovation are always welcome
  • Internal recognition programs for peer-to-peer appreciation as well as from manager to employees
  • Tools and policies to support your work-life balance from flexible working approaches, sabbatical programs, paid paternity leave, maternity leave and an innovative maternity returners scheme
  • More traditional benefits, such as 25 days holiday (in addition to public holidays), private medical, dental & optical cover, online shopping discounts, an Employee Assistance Program, life assurance and a group personal pension plan of an additional 5% of your base salary paid by us monthly to save for your future.

In this role, you’ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.


Responsibilities

We’re seeking a Senior Engineer to significantly contribute to our data integration efforts. In this role, you’ll lead smaller projects, guide junior engineers, and shape our technical direction in data integration practices. You will actively participate in the entire data integration lifecycle, focusing on extracting, transforming, and loading data from diverse sources into our data warehouse using modern data integration tools and methodologies.



  • Project Leadership: Lead smaller projects from design through deployment, showcasing strong technical and project management skills.
  • Mentorship: Guide and support Junior Data Engineers, fostering their growth and development.
  • Technical Leadership: Contribute to the definition of our data integration practices and the technical vision of our data warehouse.
  • Quality Assurance: Ensure all ETL processes meet high standards for reliability, maintainability, and performance.
  • Complex Problem Solving: Tackle and resolve intricate technical challenges, applying your deep expertise in data integration.

Required education

None


Preferred education

Bachelor's Degree


Required technical and professional expertise

  • Advanced knowledge of databases, data modelling, and SQL, along with experience with data integration tools (e.g., Informatica, Talend, Pentaho).
  • Leadership: Demonstrated leadership qualities, with a proven track record of guiding teams and delivering projects.
  • Problem‑Solving: Exceptional problem‑solving capabilities, with a history of effectively addressing and resolving complex engineering challenges in data integration.
  • Communication: Excellent verbal and written communication skills to articulate technical concepts to both technical and non‑technical stakeholders.
  • Security: Understanding of data security principles in data integration and experience with data governance practices.

Preferred technical and professional experience

  • Experience with cloud‑based data storage and processing (e.g., AWS Redshift, Google BigQuery, Azure Synapse Analytics).
  • Familiarity with data pipeline orchestration tools (e.g., Apache Airflow, Luigi).
  • Knowledge of data quality and metadata management practices.
  • Understanding of data virtualisation and data federation techniques.
  • Experience with big data technologies (e.g., Hadoop, Spark).

Other relevant job details

Job Title


Job ID


72067


City / Township / Village


London


State / Province


London, City of


Country


United Kingdom


Work arrangement


Hybrid


Area of work


Data & Analytics


Employment type


Regular


Position type


Professional


Up to 80% or 4 days a week (home on weekends - based on project requirements)


Company


Shift


General (daytime)


Is this role a commissionable/sales incentive based position?


As an equal opportunities’ employer, we welcome applications from individuals of all backgrounds.

However, for you to be eligible for this role, you must have the valid right to work in the UK. Unfortunately, we do not offer visa sponsorship and have no future plans to do so. You must be a resident in the UK and have been living continuously in the UK for the last 5 years. You must be able to hold or gain a UK government security clearance.


IBM is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.


#J-18808-Ljbffr

Industry Insights

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

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

Where to advertise machine learning jobs UK in 2026: the specialist boards and communities that reach ML, MLOps and deep learning engineering talent. 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.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine Learning Jobs UK 2026: roles, salaries and the MLOps, LLM and generative AI hiring trends shaping UK ML careers over the next three years. Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.