At a Glance
- Tasks: Design and build scalable ETL/ELT pipelines for data migration projects.
- Company: Major UK organisation leading a large-scale enterprise transformation programme.
- Benefits: Competitive day rate, hybrid work model, and opportunities for professional growth.
- Other info: Work in a dynamic environment with potential for career advancement.
- Why this job: Join a transformative project and make a significant impact on data integration solutions.
- Qualifications: Extensive Data Engineering experience and strong SQL/Python skills required.
The predicted salary is between 63000 - 77000 £ per year.
A major UK organisation is looking for an experienced Senior Data Engineer to join a large-scale enterprise transformation programme. This is an opportunity to play a key role in delivering complex data migration and integration solutions into a modern ERP landscape.
What you'll be doing:
- Design and develop robust ETL/ELT pipelines for complex migration programmes
- Integrate and harmonise data from multiple source systems into a unified target model
- Build automated reconciliation, validation and exception-handling processes
- Deliver data integrations using APIs, batch processing and messaging technologies
- Support migration rehearsals, cutover activities and post-migration validation
- Work closely with Data Architects, Analysts and business stakeholders
- Develop reusable engineering frameworks and maintain high documentation standards
Requirements:
- Extensive Data Engineering experience on enterprise-scale migration programmes
- Strong experience migrating data from multiple heterogeneous source systems
- Advanced SQL and Python (or another programming language)
- Experience with Azure Data Factory, Databricks, Synapse, Snowflake or similar cloud data platforms
- Strong understanding of data quality, reconciliation and governance
- Knowledge of DevOps/CI-CD practices is beneficial
Nice to have:
- SAP Data Services, SAP BW or SAP MDG
- Utilities or Energy sector experience
- Master Data Management (MDM)
- Power BI or SAP Analytics Cloud
Location: Hybrid role with travel to Leeds 1-2 times per month.
Senior Data Engineer in Leeds employer: Brio Digital
Brio Digital is an exceptional employer for aspiring Trainee Delivery Consultants, offering a dynamic work culture that fosters ambition and results-driven performance. With structured training, clear progression paths, and the opportunity to earn uncapped commission, employees are supported in their growth while working in a collaborative Chester office environment. This role not only provides valuable experience in tech recruitment but also allows you to build meaningful relationships in a high-demand market.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer in Leeds
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We think you need these skills to ace Senior Data Engineer in Leeds
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 Brio Digital, 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 Brio Digital. 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 Brio Digital
✨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 Brio Digital!
✨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.
