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- Tasks: Design and optimise cloud-native data pipelines using Azure technologies.
- Company: Join Amey's vibrant, inclusive community in Group IT.
- Benefits: Competitive salary, career growth, training opportunities, and generous holiday allowance.
- Other info: Hybrid working with travel to Birmingham, London, or Liverpool once a week.
- Why this job: Lead innovative projects and make a real impact on data engineering.
- Qualifications: Experience with Azure, Databricks, and strong communication skills.
The predicted salary is between 60000 - 75000 ÂŁ per year.
We are excited to offer a fantastic permanent opportunity offering Hybrid working with travel up to once a week across one of Amey's offices in Birmingham, London and Liverpool.
HOURS OF WORK - Monday - Friday 37.5 Hours
Join our vibrant, inclusive community in Group IT, lead and scale our Azure-based data platform. You will own the end-to-end design and optimisation of high-performance, cloud-native data pipelines - ensuring secure, cost-efficient delivery of high-quality datasets across our medallion architecture.
Responsibilities
- Lead the design and implementation of distributed data processing pipelines (batch and streaming) using PySpark/Spark and Python on Azure Databricks.
- Architect and evolve our medallion data platform, ensuring data quality, observability and reliability across all layers (Bronze, Silver, Gold).
- Define and enforce strong data quality controls, validation rules and monitoring strategies to maintain trusted, production‑grade datasets.
- Make technical decisions on cluster strategy and cost optimisation (e.g., interactive vs. job clusters, autoscaling, serverless, pools, spot instances).
- Build and operationalise data workflows using Databricks Workflows, Azure Data Factory, or Fabric, ensuring efficient orchestration, scheduling and alerting.
- Drive API‑based data integrations, ensuring secure, scalable and low‑latency ingestion of data from third‑party and internal systems.
- Champion DevOps standards across the team (CI/CD, TDD, Infrastructure‑as‑Code, Git‑flow, Azure DevOps/GitHub).
- Embed and enforce security and governance best‑practices, including data masking, encryption and RBAC throughout the ETL lifecycle.
- Mentor junior engineers and contribute to technical standards and architecture roadmaps.
- Engage with data scientists, analysts and business stakeholders to deliver high‑value, production‑ready data products.
Qualifications
- Ability to drive technical direction and influence architectural decisions.
- Strong stakeholder management and communication skills.
- Mentoring mindset, collaborative and proactive.
- Operates with a product mindset and ownership mentality.
- Thrives in a fast‑moving environment with ambiguity and growth.
- Extensive experience working with large‑scale data engineering solutions in public cloud (Azure preferred).
- Deep hands‑on experience with Databricks, ADLS, Delta Lake and distributed compute paradigms.
- Prior ownership of mission‑critical production pipelines, including data quality monitoring, automated alerting and remediation.
- Strong track record of cost and performance optimisation at scale, including cluster tuning and workload refactoring.
- Experience with leading orchestration tools (e.g. Databricks Workflows, ADF, Airflow).
- Proven experience integrating APIs and external data services into data platforms.
- Proficiency in SQL, Python, PySpark and software engineering best practices.
- Experience in DevOps, CI/CD, infrastructure automation and data security.
- Exposure to MLOps, ML model deployment or LLM‑based pipelines is a plus.
Benefits
- Remuneration - Enjoy a competitive annual salary with the potential for yearly reviews to ensure you’re rewarded for your contributions.
- Career Growth - Shine in your career with advancement opportunities.
- Training Opportunities - Unlock your potential with comprehensive training, including fully funded leadership programs tailored to your personal growth.
- Holidays - Enjoy at least 24 days of holiday plus.
Data lake Engineer employer: Amey Group Services LTD
Contact Detail:
Amey Group Services LTD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data lake Engineer
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at Amey. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your hands-on experience with Azure, Databricks, and all those cool data engineering tools. Let them see how you can add value to their team.
✨Tailor Your Approach
Before any interview or networking event, do your homework on Amey and their data platform. Tailor your conversations to show how your skills align with their needs, especially around data quality and optimisation.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our vibrant community.
We think you need these skills to ace Data lake Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Lake Engineer role. Highlight your experience with Azure, Databricks, and data pipelines. 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 tell us why you're passionate about data engineering and how you can contribute to our team. Keep it engaging and relevant to the job description.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's building data pipelines or optimising performance, we love to see real-world examples of your work.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can't wait to hear from you!
How to prepare for a job interview at Amey Group Services LTD
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Azure, Databricks, and PySpark. Brush up on your knowledge of data pipelines and be ready to discuss how you've implemented similar solutions in the past.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in data engineering. Think about times when you optimised performance or ensured data quality, and be ready to explain your thought process and the impact of your decisions.
✨Engage with Stakeholders
Since strong stakeholder management is key, practice how you would communicate complex technical concepts to non-technical team members. Be prepared to discuss how you’ve collaborated with data scientists and analysts to deliver high-value data products.
✨Demonstrate a Mentoring Mindset
Highlight any experience you have mentoring junior engineers or leading teams. Discuss how you foster collaboration and knowledge sharing, as this aligns with the company’s values and shows you’re a team player.