Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead the design and development of scalable data solutions in a modern data environment.
- Company: Join a forward-thinking company investing in cutting-edge technology.
- Benefits: Flexible remote work, competitive pay, and opportunities for professional growth.
- Other info: Exciting opportunity to elevate engineering standards in a dynamic, growing team.
- Why this job: Shape the future of data engineering and influence best practices from the ground up.
- Qualifications: Proven experience in data engineering with expertise in Snowflake, dbt, Python, and AWS.
The predicted salary is between 60000 - 80000 £ per year.
We’re looking for a Lead Analytics Engineer to join a major CRM migration programme and help shape the future of a growing modern data function. This is not a people management role — we need a true technical leader. Someone who can come in, raise engineering standards, implement best practices, and show the existing team what “good” looks like in a modern data environment.
You’ll be joining at a genuinely exciting stage: the business is investing heavily in new technology and modernizing its data platform from the ground up. Rather than inheriting years of technical debt, you’ll have the opportunity to influence architecture, standards, and ways of working from the beginning.
Tech Stack:
- Snowflake
- dbt
- Python
- AWS
- Power BI
Responsibilities:
- Designing, developing, and evolving scalable Data Warehouse and ELT solutions
- Driving modern DataOps practices including CI/CD, GitOps, testing, and automation
- Implementing robust, observable, and high-quality data pipelines
- Leading by example within engineering teams and elevating technical standards
- Supporting the move toward cross-functional product squads
- Working closely with governance and analytics teams to build mature, scalable solutions
What we’re looking for:
- Proven Lead-level Data/Analytics Engineering experience
- Strong expertise with Snowflake, dbt, Python, and AWS
- Deep understanding of software engineering best practices within data environments
- Experience implementing CI/CD pipelines and DataOps principles (GitHub Actions etc.)
- Strong experience with Data Observability and Data Quality frameworks
- Excellent communication skills and the ability to inspire confidence across teams
- Experience working in modern, mature data environments
Nice to Have:
- Exposure to data products
- Experience with data cataloguing/discovery tools
- Strong Agile and continuous improvement mindset
This is an ideal opportunity for someone who enjoys building modern data platforms the right way — influencing engineering culture, tooling, and delivery standards at a critical stage of growth. If interested, drop me a message or apply directly.
Lead data analytics engineer in Slough employer: SR2 | Socially Responsible Recruitment | Certified B Corporation™
Contact Detail:
SR2 | Socially Responsible Recruitment | Certified B Corporation™ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead data analytics engineer in Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the data analytics field and let them know you're on the hunt for a Lead Analytics Engineer role. You never know who might have the inside scoop on opportunities or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving Snowflake, dbt, and Python. This will give potential employers a taste of what you can bring to the table and how you can elevate their data standards.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with CI/CD pipelines and DataOps principles, as well as how you've influenced engineering culture in past roles. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Lead data analytics engineer in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Lead Analytics Engineer. Highlight your experience with Snowflake, dbt, Python, and AWS, and don’t forget to showcase your understanding of DataOps practices. We want to see how you can raise engineering standards!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Share specific examples of how you've influenced architecture and implemented best practices in previous roles. Let us know what excites you about modernising data platforms!
Showcase Your Technical Leadership: Since this isn’t a people management role, focus on your technical leadership skills. Talk about how you've led by example in engineering teams and elevated technical standards. We’re looking for someone who can inspire confidence across teams!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss any important updates. Plus, we love seeing applications come in through our platform!
How to prepare for a job interview at SR2 | Socially Responsible Recruitment | Certified B Corporation™
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Snowflake, dbt, Python, and AWS. Be prepared to discuss your experience with these tools and how you've used them to solve real-world problems.
✨Showcase Your DataOps Knowledge
Since this role involves driving modern DataOps practices, brush up on CI/CD, GitOps, and automation. Be ready to share specific examples of how you've implemented these practices in previous roles and the impact they had on project outcomes.
✨Demonstrate Leadership Without Management
Even though this isn’t a people management role, it’s crucial to show that you can lead by example. Prepare to discuss how you've elevated engineering standards and influenced team culture in past positions without direct authority.
✨Communicate Clearly and Confidently
Excellent communication skills are key for this role. Practice articulating your thoughts clearly and confidently, especially when discussing complex technical concepts. Think about how you can inspire confidence in your potential colleagues during the interview.