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 data services required.
The predicted salary is between 60000 - 80000 £ 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.
Senior Engineer, Data Engineering in London employer: Addition+
Join a forward-thinking company that prioritises innovation and collaboration in a fully remote environment. As a Senior Engineer in Data Engineering, you'll have the opportunity to work on high-impact data transformation projects, utilising cutting-edge AWS technologies while enjoying a supportive culture that values your contributions and fosters professional growth. With competitive pay and the potential for contract extension, this role offers a meaningful chance to make a significant impact in the data landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer, Data Engineering in London
✨Showcase Your Skills with a Public Portfolio
As a freelancer in data science, having a killer portfolio is essential. Showcase your projects on platforms like GitHub or create a personal website that details your work and techniques. This gives potential clients a clear picture of what you can do and helps you stand out from the competition.
✨Get Involved in Data Science Communities
Tap into online forums like Kaggle or Stack Overflow. Not only can you showcase your expertise, but you can also connect with other data scientists and potential clients. Plus, participating in competitions and discussions can elevate your profile in the field.
✨Leverage Local Networking Opportunities
Keep an eye out for local data science meetups or tech events in your area. These are golden opportunities to meet potential clients and collaborators face-to-face. Plus, who doesn't love a bit of networking over pizza and drinks?
✨Pitch Your Services Directly to Companies
Don't just wait for freelancing platforms to bring clients to you—be proactive! Research companies that could benefit from data science services and craft tailored pitches. Mention specific pain points you can address for them. Let’s get that freelance hustle going!
We think you need these skills to ace Senior Engineer, Data Engineering in London
Some tips for your application 🫡
Showcase Your Projects:When applying for a freelance data science role like Senior Engineer, Data Engineering at Addition+, it’s crucial to highlight your projects. Include a portfolio that features at least two or three projects involving data analysis, machine learning, or visualisation. Make sure to describe the tools and methodologies you used, so we can see your skills in action!
Quantify Your Achievements:Freelance gigs, especially in data science, often ask for proven results. In your CV, include any relevant metrics or outcomes from your previous work. Did your analysis help reduce costs by a certain percentage? Or did your predictive model improve performance? Numbers speak volumes!
Introduce Your Style:Since freelancing is all about your individual style and approach, use your cover letter to share how you tackle data problems. This is your chance to let us know how you think, your creative problem-solving methods, and how you would approach a project at Addition+.
Be Real About Your Rates:When you send in your application, don’t forget to mention your freelance rates and availability. We appreciate clarity up front, and it helps us gauge if you fit within our budget and timeline. Being transparent in this aspect shows professionalism and readiness!
How to prepare for a job interview at Addition+
✨Show Off Your Data Wizardry
As a freelancer in data science, you'll want to present a portfolio that showcases your best projects. We should pull together examples where you tackled real problems with data analytics, machine learning models, or visualisations. It's all about demonstrating your skills in action!
✨Be Ready to Dive Deep into Technical Questions
Expect to encounter some technical grilling during the interview. Prepare to discuss statistical methods, algorithms, or maybe even tackle a live coding challenge. We should brush up on tools like Python, R, or SQL—those are key players in the data science field. Don't just know them; be ready to explain your thought process!
✨Help Them Understand Your Work Style
Freelance gigs often mean you'll be working independently, so we need to convey our self-motivation and time management skills. Be prepared to talk about how you’ve handled multiple projects or met tight deadlines before. Sharing your approach to client communication can also give them confidence in your ability to deliver remotely.
✨Pitch Your Value Proposition
When freelancing, it’s crucial to clearly articulate what makes you unique. We should highlight not just technical skills but also the business impact of our projects. Think of a couple of stories where your data insights drove decision-making—this can be a game changer in showing why they should choose you for their freelance needs!
