At a Glance
- Tasks: Lead the design and development of modern data solutions using Microsoft Fabric and Azure.
- Company: Prestigious global wealth management organisation with a focus on innovation.
- Benefits: Highly competitive salary, bonuses, and comprehensive benefits package.
- Other info: Hybrid work environment with opportunities for mentorship and career growth.
- Why this job: Shape enterprise-wide data standards and make impactful contributions to data engineering.
- Qualifications: 5 years in Data Engineering, strong Python and SQL skills, expertise in cloud technologies.
The predicted salary is between 80000 - 100000 £ per year.
Lead Data Engineer is sought by expanding central data platform team within a prestigious global wealth management organisation. This role offers the opportunity to help shape enterprise-wide data engineering standards, contribute to platform strategy, and build modern, scalable data solutions that support business-critical decision-making.
Essential to this role are strong python skills, expertise in MS Fabric, SQL, data warehousing, Data Lake and Azure technologies.
The Role
As the Lead Data Engineer, you will be responsible for designing, developing, and maintaining modern data solutions using Microsoft Fabric and Azure technologies. You will contribute to the development of engineering standards, optimise platform performance, and support the adoption of secure, scalable, and observable data architectures.
Working closely with stakeholders, product owners, analysts, data scientists, and platform specialists, you will play a key role in delivering high-quality data products and promoting best practices across federated data teams.
Key Responsibilities
- Define and implement data engineering standards, frameworks, and best practices.
- Design, build, and maintain secure, scalable, and observable data pipelines.
- Develop data solutions using Microsoft Fabric, Lakehouse, and Data Warehouse architectures.
- Implement and manage Medallion Architecture patterns for data ingestion and transformation.
- Ensure data quality, completeness, integrity, and governance across the platform.
- Optimise data processing workflows, pipelines, and storage solutions for performance and cost efficiency.
- Collaborate with Data Scientists, Analysts, Product Owners, and business stakeholders to deliver high-value data products.
- Support CI/CD implementation and engineering automation practices.
- Contribute to platform roadmap planning and adoption of emerging Microsoft Fabric capabilities.
- Design monitoring, disaster recovery, and business continuity strategies for critical data services.
- Promote effective data governance, metadata management, and catalogue standards.
- Mentor engineers and provide technical leadership across multiple data initiatives.
Required Skills & Experience
- 5 years' experience in Data Engineering within cloud-based environments.
- Proven expertise with Microsoft Fabric and modern data platform technologies.
- Advanced Python and SQL development skills.
- Experience building and optimising ETL/ELT pipelines.
- Strong understanding of Lakehouse, Data Warehouse, and Data Lake architectures.
- Experience with Azure Data Factory, Azure Synapse, and Apache Spark.
- Knowledge of data modelling, semantic models, and enterprise reporting solutions.
- Experience implementing data governance, security, and quality frameworks.
- Strong understanding of modern data engineering practices, including observability and monitoring.
- Experience working with CI/CD pipelines and DevOps practices.
- Ability to engage effectively with both technical and non-technical stakeholders.
What We're Looking For
The successful candidate will be a proactive and commercially minded data engineering leader who combines strong technical capability with excellent communication skills. You will have experience delivering complex data platform initiatives, influencing stakeholders at all levels, and helping organisations realise the value of modern data technologies.
If you are passionate about building scalable data platforms, driving engineering excellence, and shaping the future of enterprise data capabilities, we would love to hear from you.
Lead Data Engineer in Slough employer: ARC IT Recruitment
Join a prestigious global wealth management organisation in London, where as a Lead Data Engineer, you will thrive in a dynamic and collaborative work culture that prioritises innovation and excellence. With a highly competitive salary, bonus structure, and comprehensive benefits, this role offers exceptional opportunities for professional growth and mentorship, allowing you to shape enterprise-wide data engineering standards while working with cutting-edge technologies like Microsoft Fabric and Azure. Embrace the chance to make a meaningful impact on business-critical decision-making in a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Engineer in Slough
✨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 ARC IT Recruitment!
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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 ARC IT Recruitment.
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We think you need these skills to ace Lead Data Engineer in Slough
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 ARC IT Recruitment, 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 ARC IT Recruitment. 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 ARC IT Recruitment
✨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 ARC IT Recruitment!
✨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.
