Data Engineer

Capgemini
City of London
6 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Overview

The Cloud Data Platforms team is part of the Insights and Data Global Practice and focuses on driving customers' digital and data transformation using modern cloud platforms (AWS, Azure and GCP). The team includes Data Engineers, Platform Engineers, Solutions Architects and Business Analysts.


Hybrid working: The places you work from will vary by role and business needs and will be a blend of Company offices, client sites and home, noting you will not be able to work at home 100% of the time.


Your Role

We are looking for strong Palantir Data Engineers who are passionate about cloud technology.


Your work will be to:



  • Design and build data engineering solutions and support the planning and implementation of data solutions.
  • Work with clients and local teams to deliver modern data products and build relationships.
  • Use Palantir data-focused reference architecture, design and build data solutions.
  • Analyse current business practices, processes and procedures and identify opportunities for leveraging Palantir services with effective metrics and monitoring.
  • Collaborate with internal and external stakeholders to translate business problems into operational improvements and end-user solutions.
  • Work with large-scale, complex datasets to solve business problems and drive insight at pace.

Your Skills And Experience

  • Experience developing enterprise-grade data pipelines and applying data engineering best practices (coding practices, unit testing, version control, code review).
  • Ability to work with Solution Architect, Product Owner and Business users to understand requirements and deliver Palantir data solutions; strong experience with Palantir Data Engineering features (Code Repo, Code Workbook, Pipeline Builder, migration techniques, Data Connection and Security setup).
  • Developing data integration pipelines, transformations, pipeline scheduling, Ontology, and applications in Palantir Foundry.
  • Design, develop and deploy Palantir data solutions with PySpark and Spark SQL for data transformations.
  • Experience designing and building interactive data applications with Ontology, actions, functions, object views, indexing, data health and expectations, and developing parameterized, interactive dashboards in Quiver.
  • Desirable: Palantir Foundry Amplify data engineering certification and experience with CI/CD, deploying Palantir data solutions to Cloud (AWS/Azure/Google Cloud); hands-on with Python, SQL and cloud provisioning tools.

Your Security Clearance

To be appointed to this role, it is a requirement to obtain Security Check (SC) clearance. To obtain SC clearance, the successful applicant must have resided continuously within the United Kingdom for the last 5 years, along with other criteria and requirements. Throughout the recruitment process you will be asked about your security clearance eligibility, including country of residence and nationality. Some posts are restricted to sole UK Nationals for security reasons; you may be asked about your citizenship in the application process.


What does ‘Get The Future You Want' mean for you?

You will be encouraged to have a positive work-life balance. Our hybrid-first approach embeds hybrid working and flexible arrangements as a day-to-day reality. All UK employees are eligible to request flexible working arrangements. You will be empowered to explore, innovate, and progress with Capgemini’s learning-for-life mindset, offering training and development opportunities and access to courses and certifications.


Why you should consider Capgemini

Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. By joining Capgemini you’ll be part of a diverse collective of free-thinkers, entrepreneurs and industry experts, working to transform how technology can help reimagine what's possible. You’ll gain experiences and connections to shape your future and have opportunities to learn from colleagues and pursue growth.


About Capgemini

Capgemini is a global business and technology transformation partner helping organisations accelerate their digital and sustainable transition, with a workforce of around 340,000 in 50+ countries. Capgemini delivers end-to-end services from strategy and design to engineering, driven by capabilities in AI, cloud and data, together with industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion.


Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Information Technology

Industries

  • IT Services and IT Consulting

Referrals increase your chances of interviewing at Capgemini.



#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.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.

What Hiring Managers Look for First in Data Engineering Job Applications (UK Guide)

If you’re applying for data engineering jobs in the UK, the first thing to understand is this: Hiring managers don’t read every word of your CV. They scan it. They look for signals of relevance, credibility, delivery and collaboration — and if they don’t see the right signals quickly, your application may never get a second look. In data engineering, hiring managers are especially focused on whether you can build and operate reliable, scalable data systems, handle real-world data challenges and work effectively with analytics, BI, data science and engineering teams. This guide breaks down exactly what they look at first in your application — and how to shape your CV, portfolio and cover letter so you stand out.