At a Glance
- Tasks: Design and build enterprise-level data solutions using Azure, Databricks, and Fabric.
- Company: Join a dynamic Data & Analytics practice in the UK public sector.
- Benefits: Permanent hybrid role with competitive salary and opportunities for growth.
- Other info: Collaborative environment with a focus on emerging technologies and career development.
- Why this job: Lead innovative projects and make a real impact in data engineering.
- Qualifications: Strong experience in Azure, Databricks, SQL, and data warehousing.
The predicted salary is between 60750 - 74250 £ per year.
- Lead Data Engineer (Azure | Databricks | Fabric | Py Spark | SQL)
- Permanent | Hybrid | UK Public Sector Project
- Overview
We are seeking a hands-on Lead Data Engineer to join a growing Data & Analytics practice.
This role focuses on designing, building, optimising, and maintaining enterprise-level data solutions.
You will work across the full data lifecycle, delivering scalable, high-performance solutions using Azure and tools such as Databricks and Fabric.
Who We’re Looking For
A strong Data Engineer with deep technical expertise in Azure, Databricks and Fabric, who enjoys working in a collaborative, client-facing environment and thrives at designing and delivering enterprise-level data solutions, spanning initial requirements gathering, proof-of-concept development, architecture planning, deployment and delivery.
Key Responsibilities
- Develop solutions using Azure Databricks and/or Fabric
- Implement Medallion Architecture (Bronze, Silver, Gold)
- Develop data warehouse and lakehouse solutions
- Support BI, analytics, and AI workloads
- Optimise performance, cost, and reliability
- Collaborate with technical and functional stakeholders
- Mandatory Requirements
- Proven ability to make both high-level strategic and day-to-day operational decisions with confidence
- Strong leadership and interpersonal skills, with a track record of motivating and influencing stakeholders at all levels
- Sharp analytical mindset with the ability to proactively spot emerging opportunities and resolve challenges before they escape
- Strong hands-on experience with Azure Databricks and Fabric
- Strong SQL and data warehousing expertise
- Experience with data modelling
- Experience with Databricks AI/BI or Power BI
- Experience with CI/CD and Dev Ops practices
Desirable
- Experience in consulting / professional services
- Exposure to AI and advanced analytics solutions
- Exposure to Agentic AI systems built on top of Large Language Models
- Experience with real-time / streaming data
- Experience with Infrastructure as Code (Terraform or Bicep)
- Experience in regulated industries
- Passionate about staying at the forefront of industry developments, with a habit of actively monitoring emerging trends, tools, and technologies
- Databricks/Microsoft Azure certifications
- Soft Skills
- Strong problem-solving skills
- Collaborative and team-oriented mindset
- Clear communication and documentation skills
- Ability to work in fast-paced delivery environments
- Contract Details
- Role Type: Permanent & Hybrid (2 days per week)
- Location: Guildford
- Clearance: Candidates must be eligible for UK Security Clearance (SC) or active SC
- #J-18808-Ljbffr
Lead Data Engineer employer: Ceox
As an Azure Solutions Architect with us, you'll be part of a dynamic and inclusive work culture that values innovation and collaboration. We offer competitive contract rates, flexible remote working options, and opportunities for professional growth within the UK Public Sector, ensuring you can make a meaningful impact while advancing your career in cloud solutions. Join us to work on exciting projects that challenge your skills and contribute to the digital transformation of public services.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Ceox!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Data Engineer at Ceox.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Ceox.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Engineer at Ceox, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Ceox, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Ceox. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Ceox
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Ceox!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
