At a Glance
- Tasks: Lead technical design and architecture for a cutting-edge data platform.
- Company: Join a growing loyalty and rewards organisation with a focus on data innovation.
- Benefits: Competitive pay, flexible remote work, and opportunities for professional growth.
- Other info: Inclusive workplace that values diversity and supports all applicants.
- Why this job: Make a real impact in a hands-on leadership role within a dynamic tech environment.
- Qualifications: Strong experience in data engineering, AWS, Snowflake, and dbt required.
Location: London (1 day per month onsite)
Duration: Initial 6-Month Contract
Pay Rate: £650 - £680 (Outside IR35)
The Opportunity
We're supporting a growing loyalty and rewards organisation that is continuing to expand its data capability following significant business growth. They are seeking a hands-on Data Engineering Tech Lead to provide technical leadership across their data platform, working closely with the Head of Data to drive architectural decisions, engineering standards and platform evolution. This is a technical leadership role rather than a people management position, with a strong focus on remaining hands-on with engineering and delivery.
Key Responsibilities
- Lead technical design and architecture across the data platform.
- Provide guidance on engineering best practices and technical standards.
- Conduct code reviews and support quality assurance activities.
- Work closely with the Head of Data on technical decision-making.
- Support the development and evolution of cloud data solutions.
- Contribute directly to engineering delivery and implementation.
Technical Environment
AWS, Snowflake, dbt
Required Skills & Experience
- Strong experience leading data engineering initiatives.
- Deep expertise with AWS, Snowflake and dbt.
- Strong understanding of modern data architecture and platform design.
- Experience reviewing code and driving engineering best practices.
- Ability to influence technical direction and architectural decisions.
- Comfortable remaining hands-on while operating in a leadership capacity.
Desirable Skills
- Airflow
- Databricks
- AI-focused development experience
- Semantic layer experience
Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.
Data Engineering Tech Lead in London employer: Sanderson Recruitment
Join a forward-thinking organisation that values diversity and inclusion, offering a dynamic work culture where your expertise in tax can truly shine. As the Head of Tax, you will not only lead a talented team but also play a pivotal role in shaping the tax strategy across North West Europe, with ample opportunities for professional growth and development. Enjoy a collaborative environment that prioritises employee well-being and fosters meaningful contributions to the business's long-term success.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Tech Lead in London
✨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 Sanderson Recruitment 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 Sanderson Recruitment.
✨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 Sanderson Recruitment.
We think you need these skills to ace Data Engineering Tech Lead in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Sanderson Recruitment, 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 Sanderson Recruitment, 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 Sanderson Recruitment’s attention and show the tangible impact of your work.
How to prepare for a job interview at Sanderson Recruitment
✨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 Sanderson Recruitment.
✨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 Sanderson Recruitment.
✨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 Sanderson Recruitment.
