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- Tasks: Design and optimise data pipelines in a cloud-based environment for impactful projects.
- Company: Join Delta Capita, a global leader in managed services and consulting.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic team culture with a focus on collaboration and continuous improvement.
- Why this job: Be at the forefront of data engineering and make a real difference in financial services.
- Qualifications: Experience in data engineering, SQL, and cloud platforms like AWS or Azure.
The predicted salary is between 28800 - 43200 £ per year.
We are seeking a Data Engineer to support a key client project, focused on designing, building, and optimising data pipelines within a cloud-based data and analytics environment. The role requires strong data engineering fundamentals, reliable delivery, and the ability to collaborate closely with technical and business teams.
Key Responsibilities:
- Data Engineering & Pipeline Development
- Design, develop, and maintain scalable data pipelines across batch and streaming workloads.
- Build robust ingestion, transformation, and curation processes aligned with modern data engineering tools and patterns.
- Develop and maintain data models, curated datasets, and integration layers to support analytics and reporting.
- Optimise data processing for performance, reliability, and cost efficiency.
- Data Quality, Governance & Security
- Implement data quality checks, validation routines, and automated monitoring.
- Ensure accurate and up-to-date data lineage, metadata management, and documentation.
- Apply appropriate security controls, including role-based access, data masking, and protection of sensitive information.
- Cloud & Platform Engineering
- Work with cloud-native services for storage, compute, and workflow orchestration.
- Monitor pipelines and platform performance, identifying and resolving issues and bottlenecks.
- Support environment configuration, standardisation, and implementation of best practices.
- DevOps, Automation & Observability
- Use CI/CD processes to deploy code, configurations, and data assets across environments.
- Maintain version control, participate in code reviews, and follow release processes.
- Build monitoring, alerting, and logging to support high-quality operations and rapid issue resolution.
- Collaboration & Delivery
- Collaborate with Data Scientists, analysts, engineers, and business stakeholders to understand requirements and deliver robust solutions.
- Support requirement gathering, solution design, documentation, and technical handover.
- Contribute to continuous improvement, standardisation, and knowledge sharing.
Requirements
- Strong experience in data engineering and pipeline development.
- Proficiency in SQL, data modelling, and transformation techniques.
- Experience with cloud platforms (AWS, Azure, or GCP).
- Familiarity with CI/CD, version control (Git), and automation tools.
- Understanding of data quality, governance, and security best practices.
- Strong analytical, communication, and collaboration skills.
This is a fixed-term position located in London. As the selection and interview process is ongoing, please submit your application in English as soon as possible. For this role, a valid working permit for the UK is mandatory.
Expectations regarding hybrid working: Most of our clients now require a minimum of 3 days per week in the office, 2 days from home, and accordingly this is also the minimum expectation that Delta Capita require.
Who We Are: Delta Capita Group is a global managed services, consulting, and solutions provider with a unique combination of experience in Financial Services and technology innovation capability.
Data Engineer in London employer: Delta Capita
Contact Detail:
Delta Capita Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for opportunities. You never know who might have a lead or can refer you to someone looking for a Data Engineer.
✨Tip Number 2
Get your hands dirty with projects! Build a portfolio showcasing your skills in designing and optimising data pipelines. Share your work on platforms like GitHub to impress potential employers and show off your expertise.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with SQL, cloud platforms, and CI/CD processes. Practise common interview questions and even do mock interviews with friends to boost your confidence.
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are genuinely interested in joining us. Make sure to tailor your application to highlight how your skills align with the role of a Data Engineer.
We think you need these skills to ace Data Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, cloud platforms, and any relevant tools you've used. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on any cool data projects, don't hesitate to mention them! Whether it's a personal project or something from a previous job, showcasing your hands-on experience can really set you apart from other candidates.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Delta Capita
✨Know Your Data Engineering Fundamentals
Brush up on your data engineering basics, especially around pipeline development and data modelling. Be ready to discuss your experience with SQL and cloud platforms like AWS, Azure, or GCP, as these are crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've optimised data processing for performance and reliability. Think about challenges you've faced in previous projects and how you resolved them, as this will demonstrate your analytical skills.
✨Familiarise Yourself with CI/CD Practices
Since the role involves using CI/CD processes, make sure you can talk about your experience with version control and automation tools. Highlight any relevant projects where you've implemented these practices to show your hands-on knowledge.
✨Emphasise Collaboration and Communication
This position requires working closely with various teams, so be prepared to discuss how you've collaborated with data scientists, analysts, and business stakeholders in the past. Share examples that highlight your communication skills and ability to gather requirements effectively.