At a Glance
- Tasks: Design and develop high-performance data pipelines on AWS for a leading banking client.
- Company: Global recruitment specialist with a focus on innovative tech solutions.
- Benefits: Competitive pay rate, hybrid work model, and opportunities for professional growth.
- Other info: Exciting projects with potential for career advancement in a supportive environment.
- Why this job: Join a dynamic team and shape the future of data engineering in the banking sector.
- Qualifications: 8+ years of experience in data engineering with strong AWS skills.
The predicted salary is between 60000 - 80000 £ per year.
We are a Global Recruitment specialist that provides support to the clients across EMEA, APAC, US and Canada. We have an excellent job opportunity for you.
Work mode: Hybrid, 2 days WFO/week
Contract duration: 6 months
Location: Northampton, UK
Industry: Banking Domain experience needed
Pay Rate: £481 per day all inc. (Inside IR35)
Key Responsibilities:
- Data Engineering & Platform Development
- Design, develop, and maintain scalable, secure, and high-performance data pipelines on AWS.
- Build and manage enterprise data lake solutions using Client S3 and AWS Lake Formation.
- Develop and support ETL/ELT workflows using AWS Glue, Python, and SQL.
- Design and implement serverless data processing solutions using AWS Lambda.
- Orchestrate and automate data workflows using AWS Step Functions.
- Data Warehousing & Analytics
- Design, develop, and optimize data warehouse solutions using Client Redshift.
- Enable data analytics and reporting through Client Athena.
- Ensure data quality, integrity, and availability across the data platform.
- Cloud Infrastructure & Security
- Configure and manage AWS services including IAM, VPCs, Subnets, SNS, and SQS.
- Develop Infrastructure as Code (IaC) using AWS CloudFormation.
Core Skills & Competencies:
- AWS: S3, IAM, Lambda, Glue, Step Functions, Lake Formation, VPC & Subnets, Athena, Redshift, Service Catalog, CloudFormation, SNS, SQS
- Programming: SQL, Python, ETL/ELT
- Development: Unix/Linux, Shell Scripting, Git
Qualifications & Experience:
- Bachelor's or Master's degree in a related field.
- 8+ years of overall experience and 6+ years of experience as AWS Data Engineer
Preferred Experience (Nice to Have):
- GitLap
- Nexus Repository Manager
- Redshift Performance Optimization
- Snowflake
- DBT (Data Build Tool)
If you are interested in this position and would like to learn more, please send through your CV and we will get in touch with you as soon as possible. Please note, candidates are often Shortlisted within 48 hours.
Data Modeler in Northampton employer: eTeam Workforce Limited
eTeam Workforce Limited is an exceptional employer, offering a dynamic work environment in North Wales that prioritises engineering excellence and compliance within military systems. With a strong focus on employee growth, the company provides ample opportunities for professional development and leadership advancement, fostering a culture of collaboration and innovation. Employees benefit from a supportive atmosphere that values technical integrity and airworthiness, making it a rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Modeler in Northampton
✨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 eTeam Workforce Limited 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.
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For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like eTeam Workforce Limited.
✨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 eTeam Workforce Limited.
We think you need these skills to ace Data Modeler in Northampton
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at eTeam Workforce Limited, 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 eTeam Workforce Limited, 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 eTeam Workforce Limited’s attention and show the tangible impact of your work.
How to prepare for a job interview at eTeam Workforce Limited
✨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 eTeam Workforce Limited.
✨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 eTeam Workforce Limited.
✨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 eTeam Workforce Limited.
