At a Glance
- Tasks: Join a major data migration project, transforming SQL platforms to Snowflake and AWS.
- Company: Dynamic banking environment focused on innovative data solutions.
- Benefits: Competitive contract rate, professional growth, and collaborative team culture.
- Other info: Opportunity for career advancement in a regulated financial services setting.
- Why this job: Be part of a high-profile transformation that shapes the future of data in banking.
- Qualifications: 3+ years in data engineering, strong SQL skills, and experience with Snowflake.
The predicted salary is between 59400 - 72600 £ per year.
We are seeking an experienced Data Engineer to support a major data platform transformation programme within a banking environment. The successful candidate will play a key role in migrating existing data solutions from SQL-based platforms into Snowflake, with a longer-term strategic roadmap to AWS. This is an excellent opportunity to join a high-profile data migration programme, helping to design, build and optimise modern cloud-based data solutions that will underpin future business and analytics capabilities.
Key Responsibilities
- Support the migration of legacy SQL-based data platforms into Snowflake.
- Design, develop and maintain scalable data pipelines and ETL/ELT processes.
- Work closely with architects, business stakeholders and engineering teams to deliver a modern cloud data platform.
- Optimise data models, data flows and performance within Snowflake.
- Contribute to the future migration and integration of data services into AWS.
- Ensure data quality, governance and security standards are maintained throughout the migration lifecycle.
- Troubleshoot and resolve data platform issues, implementing best practices and continuous improvements.
- Collaborate within Agile delivery teams to meet programme objectives and timelines.
Required Skills & Experience
- Proven experience as a Data Engineer within the banking or financial services sector.
- Minimum 3 years' banking experience.
- Strong hands-on experience with Snowflake.
- Strong SQL development and database engineering skills.
- Experience building and maintaining large-scale data pipelines.
- Exposure to cloud technologies, ideally AWS.
- Experience working on data migration, transformation or modernisation programmes.
- Understanding of data modelling, ETL/ELT processes and data warehousing principles.
- Strong stakeholder management and communication skills.
Desirable Skills
- Experience within Credit Cards or broader consumer lending environments.
- Knowledge of AWS data services such as S3, Glue, Lambda, Redshift or related technologies.
- Experience working within regulated financial services environments.
- Understanding of modern data architecture and cloud data strategy initiatives.
Data Engineer employer: Lorien Careers
Join a leading pharmaceutical company that values innovation and flexibility, offering a dynamic work culture where your contributions directly impact global health outcomes. With opportunities for professional growth and the ability to work remotely from Maidenhead, you will collaborate with a talented team on diverse projects across various therapy areas, ensuring a rewarding and meaningful experience in health economics modelling.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Lorien Careers before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
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✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Lorien Careers.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Lorien Careers, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Lorien Careers, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Lorien Careers’s attention and show the tangible impact of your work.
How to prepare for a job interview at Lorien Careers
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Lorien Careers.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Lorien Careers.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Lorien Careers.
