At a Glance
- Tasks: Lead the design and delivery of innovative cloud-native data solutions.
- Company: Join a major financial services transformation programme in London.
- Benefits: Competitive pay up to £650 per day, hybrid work model.
- Other info: Be part of a dynamic team with opportunities for professional growth.
- Why this job: Make a real impact by shaping modern data platforms and mentoring future engineers.
- Qualifications: Strong technical expertise in data engineering and leadership skills required.
The predicted salary is between 63000 - 77000 £ per year.
Principal Data Engineer London (Hybrid) | Contract | Inside IR35 | Up to £650 per day Principal Data Engineer | Financial Services Transformation Programme We are supporting a major financial services transformation programme and are seeking an experienced Principal Data Engineer to play a pivotal role in the delivery of a modern cloud-based data platform.
This role is ideal for a senior engineering professional who combines strong technical expertise with a consultative approach.
You will work closely with business stakeholders, Data Architects, Product Owners, and engineering teams to shape solutions, provide technical direction, and remain actively involved in the hands-on delivery of critical data initiatives.
You will be responsible for designing and building scalable data solutions, establishing engineering best practices, and driving the successful migration of data assets from legacy technologies to a modern cloud-based architecture.
While this role carries significant influence across the programme, it is not purely strategic and requires someone who enjoys being deeply involved in the technical implementation.
Key Responsibilities Lead the design and delivery of scalable, cloud-native data solutions across multiple workstreams.
Work closely with business and technical stakeholders to understand requirements and translate them into practical data solutions.
Provide technical leadership and guidance to Data Engineers and delivery teams.
Remain hands-on with the design, development, testing, and deployment of data pipelines and data products.
Design and implement modern Lakehouse architectures using Databricks and AWS services.
Establish engineering standards, development practices, and data quality frameworks.
Collaborate with Data Architects to deliver target-state platform architecture and technical roadmaps.
Support and execute the migration of data assets from legacy platforms to modern cloud technologies.
Drive optimisation, performance tuning, and operational excellence across data platforms.
Contribute to architecture reviews, governance forums, and technical design discussions.
Mentor engineers and promote engineering excellence across the wider team.
Act as a trusted advisor to stakeholders, balancing business objectives with technical best practices.
Essential Experience Technical Leadership
Senior Data Engineer employer: Empresaria Group plc
As a Commercial Manager with us, you'll thrive in a dynamic work environment that values innovation and collaboration. We offer competitive salaries, comprehensive benefits, and ample opportunities for professional development, all while being part of a supportive team that prioritises your growth and success. Join us in a location that fosters creativity and engagement, making every day at work both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
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We think you need these skills to ace Senior 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 Empresaria Group plc, 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 Empresaria Group plc. 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 Empresaria Group plc
✨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 Empresaria Group plc!
✨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.
