At a Glance
- Tasks: Design and enhance data migration solutions in a cloud-first environment.
- Company: Join a dynamic team focused on high-impact data transformation projects.
- Benefits: Competitive pay, fully remote work, and potential for contract extension.
- Other info: Collaborative culture with opportunities for personal and professional growth.
- Why this job: Make a real impact on critical business outcomes with cutting-edge AWS technologies.
- Qualifications: Strong Python skills and experience with AWS services required.
The predicted salary is between 50000 - 50000 £ per year.
Join a high-impact data transformation programme where your expertise will help shape the success of complex migration and reconciliation initiatives. This role offers the chance to work within a cloud-first environment, improving data quality, performance, and scalability while supporting critical business outcomes.
Role Overview:
- Location: Remote (Must be UK-based) - no third parties
- Active SC Clearance is essential
- Package: £550 per day (Outside IR35)
- Industry: Data & Cloud Transformation
- Duration: 3-month contract with possibility to extend
What You’ll Be Doing:
- Design, build, and enhance data migration and transformation solutions within AWS.
- Review existing data engineering solutions and identify opportunities to improve performance, reliability, and scalability.
- Optimise data processing workflows to increase efficiency across migration and reconciliation activities.
- Develop robust logging, monitoring, and error-handling capabilities within Python-based applications.
- Build and maintain ETL/ELT pipelines using AWS data services.
- Validate migrated data and perform reconciliation activities to ensure accuracy and completeness.
- Investigate data issues, troubleshoot processing failures, and resolve quality concerns.
- Work closely with technical and non-technical stakeholders to gather requirements and deliver effective solutions.
- Produce clear technical documentation and share knowledge across the wider team.
- Support testing, deployment, and post-migration activities.
Main Skills Needed:
- Strong commercial Python development experience, including performance optimisation, code reviews, and best practice implementation.
- Hands-on experience with AWS services, including Amazon RDS, AWS Glue, and related data technologies.
- Proven track record delivering data migration and transformation projects.
- Strong understanding of data integration, processing, and ETL/ELT methodologies.
- Experience improving application performance and processing efficiency.
- Data validation, reconciliation, and data quality management experience.
- Strong analytical and problem-solving capabilities.
- Ability to work autonomously within a remote-first team.
- Active SC Clearance is essential.
What’s in It for You:
- Fully remote contract engagement.
- Outside IR35 arrangement.
- Opportunity to work on a high-profile data migration programme.
- Fast-paced environment where your expertise will directly influence project success.
- Exposure to modern AWS data technologies and large-scale transformation initiatives.
- Collaborative team culture with opportunities to contribute ideas and drive improvements.
- Potential for contract extension beyond the initial term.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Data Engineer employer: Addition+
Join a dynamic and innovative team where your role as a Data Engineer will be pivotal in driving high-impact data transformation projects. Enjoy the flexibility of a fully remote position while collaborating with a diverse group of professionals in a supportive culture that values your contributions and encourages continuous growth. With opportunities to work on cutting-edge AWS technologies and the potential for contract extension, this is an excellent chance to advance your career in a fast-paced environment.
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 Addition+ 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
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 Addition+.
✨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 Addition+.
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 Addition+, 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 Addition+, 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 Addition+’s attention and show the tangible impact of your work.
How to prepare for a job interview at Addition+
✨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 Addition+.
✨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 Addition+.
✨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 Addition+.
