At a Glance
- Tasks: Design and build scalable data products and pipelines using Azure, AWS, and Databricks.
- Company: Join Pontoon, a forward-thinking employment consultancy that values diversity and inclusion.
- Benefits: Competitive pay, hybrid work model, and opportunities for professional growth.
- Other info: Inclusive recruitment process with support for candidates of all backgrounds.
- Why this job: Lead innovative data projects and mentor fellow engineers in a dynamic environment.
- Qualifications: Degree in Computer Science or related field; experience in enterprise-scale data engineering.
The predicted salary is between 60000 - 80000 £ per year.
Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive.
Location: Solihull - Hybrid
Contract: 3 months with possible extension.
Rate: £550 - £650 inside umbrella
Purpose
Design, build and assure scalable, secure data products and pipelines across Azure, AWS and Databricks. Lead data integration design, technical decisions and best practices, while mentoring engineers and enabling high-quality analytics, BI and data science outcomes.
Reporting & Collaboration
- Reports to Lead Data Engineer with oversight from Head of Data Operations & Engineering
- Works across Data Science, Analytics, Architecture, Cyber, Product and Delivery teams
- Acts as a senior technical lead, guiding engineers and influencing cross-team decisions
Key Responsibilities
- Lead design and delivery of scalable batch & streaming data pipelines and products
- Define and assure enterprise-aligned data integration architectures
- Optimise cloud platforms (Azure, AWS, Databricks) for performance and cost
- Build and own ETL/ELT pipelines using PySpark, SQL and orchestration frameworks
- Automate and modernise legacy data processes with reusable patterns
- Design robust data models (Delta Lake, schema evolution, metadata, lineage)
- Ensure data security, governance, and compliance (access control, encryption, lifecycle)
- Provide technical leadership, mentoring and design reviews
- Collaborate with stakeholders to translate complex technical decisions clearly
- Support strategic roadmap, tooling and continuous improvement initiatives
Core Skills & Expertise
- Data Engineering
- Advanced PySpark and SQL, performance tuning and best practice coding
- Data modelling (conceptual, logical, physical) and integration design
- Data quality, testing frameworks and automated validation
- Strong data analysis, profiling and insight delivery
Cloud & Platforms
- Azure: Data Factory, Synapse, Databricks, ADLS Gen2, Event Hub, Purview
- AWS: S3, Glue, Athena, Kinesis, Lambda, EMR, Lake Formation
- Databricks: Delta Lake, Unity Catalog, Structured Streaming, MLflow
- SQL Server stack (SSIS, SSRS)
Engineering Practices
- CI/CD for data platforms and Infrastructure-as-Code (Terraform/Bicep)
- Git, monitoring and alerting tools
- Data governance, lineage and observability frameworks
- Leading technical design assurance and reviews
Qualifications & Experience
- Degree (or equivalent) in Computer Science or related field
- Experience in enterprise-scale data engineering
- Relevant certifications (Azure, AWS, Databricks) desirable
Adecco is a disability-confident employer. It is important to us that we run an inclusive and accessible recruitment process to support candidates of all backgrounds and all abilities to apply. Adecco is committed to building a supportive environment for you to explore the next steps in your career. If you require reasonable adjustments at any stage, please let us know and we will be happy to support you.
We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.
Senior Data Engineer in Solihull employer: Adecco
At Pontoon, we pride ourselves on being an inclusive employer that values diversity and fosters a supportive work culture. As a Senior Data Engineer in Solihull, you'll have the opportunity to lead innovative data projects while collaborating with talented professionals across various teams. We offer competitive rates, a hybrid working model, and a commitment to your professional growth, ensuring you thrive in your career with us.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Solihull
✨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 Adecco 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 Adecco.
✨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 Adecco.
We think you need these skills to ace Senior Data Engineer in Solihull
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Adecco, 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 Adecco, 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 Adecco’s attention and show the tangible impact of your work.
How to prepare for a job interview at Adecco
✨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 Adecco.
✨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 Adecco.
✨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 Adecco.
