At a Glance
- Tasks: Lead a team of Data Engineers to design and deliver innovative data solutions.
- Company: Join FSP, a collaborative tech company focused on Data & AI.
- Benefits: Enjoy hybrid working, competitive salary, and industry-leading coaching.
- Other info: Be part of a supportive environment with excellent career growth opportunities.
- Why this job: Make a real impact by delivering high-quality data products and solutions.
- Qualifications: Extensive experience in data engineering and strong skills in Azure Databricks and Python.
The predicted salary is between 63000 - 77000 £ per year.
We have an exciting opportunity for a Lead Data Engineer to join our growing Data & AI function within FSP.
The successful applicant will work alongside our architects and consultants to deliver high-quality data solutions across a variety of cloud platforms and tech stacks to help our customers become more successful in delivering the insight to maximise and scale automated decision making.
Responsibilities
- You will work as a leader to our wider Data Engineers; leading technical design and architecture discussions
- Mentoring and coaching team members
- Operating as a technical lead across multiple projects and teams.
- Understand customer requirements and work collaboratively to design data solutions that deliver high-quality outcomes.
- Enable higher quality data to be created & managed in our customers organisations
- Develop high-quality data products utilising (primarily) cloud native patterns
- Engineer cloud-based data lake patterns to connect and leverage organisational & external data
- Provide technical support and guidance through prototyping, testing, build, and launch of data products
- Contribute towards the creation of technical support and design documentation for data platforms and solutions.
- Contribute to continually refining our development standards and best practices.
About you
- Extensive experience designing and delivering enterprise-scale data engineering solutions
- Strong hands‑on experience with Azure Databricks, including Py Spark, Delta Live Tables and Databricks Workflows and orchestration
- Microsoft Fabric experience, including Lakehouse, Data Factory, Warehouse and Spark
- Knowledge of Azure Data Platform services, including ADF, ADLS Gen2, Azure Synapse Analytics
- A strong background in Python and SQL development
- Proven experience building batch and streaming data pipelines
- Experience implementing Medallion Architecture and Lakehouse patterns
- Strong understanding of data modelling techniques (dimensional, star schema, data vault)
- Experience with CI/CD, Infrastructure as Code and Dev Ops practices, Git‑based source control and deployment pipelines
- Strong understanding of data governance, security, and access control
- Knowledge and experience of the following would be advantageous
- Experience with GCP and AWS
- On‑prem data platform and integration solutions, including Microsoft SQL Server, SQL Server Integration Services (SSIS)
- Experience in working with Power BI, including Power Query, DAX, and Power BI Service
- Experience with enterprise data governance frameworks
- Certifications for desired cloud technologies
- What we look for in our people
- Strong alignment with FSP values and ethos
- Commitment to teamwork, quality and mutual success
- Proactivity with an ability to operate with pace and energy
- Strong communication and interpersonal skills
- Dedication to excellence and quality
Why work for FSP?
- A collaborative and supportive environment in which you can grow and develop your career
- The tools and opportunity to do work of which you can be proud
- A chance to work alongside some of the best people in the industry, who always seek to share their knowledge and experience
- Hybrid working – we empower you to make smart choices about when and where to work to achieve great results
- Industry leading coaching and mentoring
- Competitive salary and an excellent benefits package
- Equal and Fair Opportunity
FSP is an equal opportunity employer and we welcome applications from all suitable candidates.
We consider all applicants for employment regardless of age, disability, sexual orientation, gender identity, family or parental status, race, colour, nationality, ethnic or national origin, religion or belief.
Research suggests that applicants from underrepresented groups are less likely to apply for roles if they do not precisely meet requirements, or if they felt there were clear barriers as to who should apply.
If you are excited about a potential role with us but are concerned that you may not be a perfect fit, please do apply, as you may be the ideal candidate for this role or for a different vacancy within FSP.
We endeavour to always provide fair opportunity for applicants to showcase themselves in the best way possible during any interviews or meetings.
If you require any adjustments for a call or in‑person meeting, please let us know.
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Lead Data Engineer in Reading employer: FSP
At fsp, we pride ourselves on being an exceptional employer that champions employee development and innovation. Our hybrid working model fosters a flexible work-life balance, while our commitment to continuous learning ensures that you will have ample opportunities to grow your skills and advance your career in a supportive environment. Join us to be part of a dynamic team that is dedicated to driving meaningful change for our clients and making a real impact in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer in Reading
✨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 FSP!
✨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 FSP.
✨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 FSP.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Engineer at FSP, 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 in Reading
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 FSP, 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 FSP. 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 FSP
✨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 FSP!
✨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.
