At a Glance
- Tasks: Design and build scalable data solutions using modern technologies.
- Company: Join a leading firm in data transformation and cloud modernisation.
- Benefits: Competitive daily rate, hybrid working, and opportunity for contract extension.
- Other info: Work in a dynamic environment with opportunities for professional growth.
- Why this job: Be part of a major data transformation programme and enhance your skills.
- Qualifications: 5+ years of Data Engineering experience with strong skills in Databricks, Python, and SQL.
The predicted salary is between 63000 - 77000 £ per year.
£450-£460 GBP Hybrid WORKING Location: Central London, Greater London - United Kingdom
Type: Contract
Data Engineer Contract: 6 months initially, with potential extension
Rate: £450-£460 per day
IR35: Inside IR35
Location: London - 3 days per week on-site
Start: ASAP
We are looking for two experienced Data Engineers to join a major data transformation and cloud modernisation programme within a complex, highly regulated environment. This is a hands-on engineering role suited to strong developers who enjoy building scalable data solutions and working across large enterprise technology estates. You will play a key role in designing, developing and maintaining data pipelines, supporting the migration of legacy data assets to modern cloud platforms, and delivering high-quality enterprise data solutions. This role is focused on hands-on development and delivery, rather than architecture or people management.
The Role
- As a Data Engineer, you will work closely with architects, analysts, business stakeholders and delivery teams to design and build robust data solutions.
Key responsibilities will include:
- Designing, building and optimising scalable ETL/ELT data pipelines
- Developing and maintaining data solutions using Databricks, Python and SQL
- Supporting the migration of data assets from legacy platforms into modern cloud-based architectures
- Integrating data from multiple enterprise systems, including Oracle databases
- Building reusable data engineering frameworks and improving development best practices
- Ensuring high standards of data quality, integrity, security and performance
- Troubleshooting production issues and implementing sustainable solutions
- Translating business and technical requirements into robust engineering solutions
- Producing clear technical documentation and supporting knowledge transfer
- Contributing to the ongoing development and improvement of a modern enterprise data platform
What We're Looking For
We are looking for candidates with strong commercial Data Engineering experience gained within large-scale or complex enterprise environments.
Essential Skills
- Strong commercial experience as a Data Engineer
- Hands-on experience with Databricks
- Advanced SQL development skills
- Strong Python development experience
- Extensive experience working with Oracle databases
- Proven experience designing, building and supporting data pipelines and integration solutions
- Experience working with cloud-based data platforms
- Good understanding of data modelling, performance optimisation and data quality controls
- Experience across the full software development lifecycle
- Ability to work independently and take ownership of technical delivery
- Strong problem-solving and stakeholder communication skills
Desirable Experience
- Banking or wider Financial Services experience
- Experience working within highly regulated environments
- Exposure to Azure Data Platform services
- Experience with CI/CD and DevOps practices within Data Engineering
- Previous involvement in cloud migration or data modernisation programmes
- Understanding of data governance and data lineage principles
The Ideal Candidate
This role would suit a hands-on Data Engineer with around 5+ years of experience who is comfortable working within a complex enterprise environment. You should be a strong developer first and foremost, with the ability to quickly understand requirements and translate them into scalable, reliable technical solutions. This is an excellent opportunity to join a significant data transformation programme and work with modern technologies including Databricks, Python, SQL, Oracle and cloud-based data platforms.
Please note: This is a London-based hybrid role requiring 3 days per week on-site.
Date Engineer in Slough employer: ANSON MCCADE
Anson McCade is an exceptional employer that prioritises employee well-being and professional growth, offering a flexible remote working environment in the UK. With a strong focus on security and digital transformation, employees benefit from comprehensive training programmes and clear pathways for career advancement, all while contributing to impactful projects alongside talented teams and senior stakeholders.
StudySmarter Expert Advice🤫
We think this is how you could land Date Engineer in Slough
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like ANSON MCCADE before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like ANSON MCCADE.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like ANSON MCCADE.
We think you need these skills to ace Date Engineer in Slough
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at ANSON MCCADE, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to ANSON MCCADE, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab ANSON MCCADE’s attention and show the tangible impact of your work.
How to prepare for a job interview at ANSON MCCADE
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at ANSON MCCADE.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at ANSON MCCADE.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at ANSON MCCADE.
