Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and deliver high-quality data solutions using Microsoft technologies.
- Company: Join a dynamic team in the financial services sector, fully remote.
- Benefits: Flexible work environment with opportunities for professional growth.
- Why this job: Make an impact by supporting data-driven decisions across the organisation.
- Qualifications: 3-7 years in Data Engineering; expertise in Microsoft Data Platform required.
- Other info: Collaborative culture with Agile practices and excellent career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a skilled and motivated Data Engineer to join our growing Data Engineering team. You will work with Microsoft data technologies to build and deliver high-quality, enterprise-level data solutions that support data-driven decision-making across the organisation. Fully Remote. Inside IR35.
Must have:
- Financial Services experience
- On-prem data stack as a priority (SSIS / DWH)
- The Azure stack being a must too
Key Responsibilities:
- Deliver high-quality data solutions on Microsoft platforms.
- Work with Architects and Senior Engineers to meet technical designs and specifications.
- Collaborate with business stakeholders to ensure solutions align with requirements.
- Partner with Data Science, Digital, and Core Systems teams on cross-functional projects.
- Participate in Agile ceremonies such as stand-ups, refinements, retrospectives, and demos.
- Take part in code reviews and follow in-house engineering standards.
- Adhere to internal policies for data management, governance, and quality.
- Produce documentation, wikis, and release notes throughout the development lifecycle.
- Conduct thorough testing and quality assurance before release.
Essential Experience & Skills:
- 3-7 years' experience in Data Engineering and/or Business Intelligence.
- Experience working in a regulated environment.
- Strong analytical and problem-solving abilities.
- Ability to communicate complex technical concepts clearly across the business.
- Expertise with Microsoft Data Platform technologies (SQL Server, SSIS, SSAS, SSRS).
- Strong experience with data pipelines and integrations (ETL/ELT).
- Solid understanding of data warehousing, data modelling, and dimensional design.
- Knowledge of data manipulation languages (T-SQL, DAX).
- Experience working in Agile environments (ideally Kanban).
- Strong teamwork, communication, and relationship-building skills.
Desirable Skills:
- Knowledge of mortgage or financial services.
- Experience creating dashboards and reports with Power BI.
- Programming or scripting experience (C#, Python, PowerShell).
- Experience with APIs and semi-structured data (JSON, XML).
- Familiarity with Azure data services (ADF, Data Lake, Synapse, Cosmos DB, Functions, etc.).
- Experience with Git and branching strategies.
- Additional relevant technologies (PowerShell, Bicep, YAML, Power Platform).
Qualifications:
No mandatory qualifications; Microsoft/Azure certifications are an advantage.
Please send me a copy of your CV if you're interested and meet the requirements.
Data Engineer - Contract employer: Jefferson Frank
Contact Detail:
Jefferson Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Contract
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector and let them know you're on the hunt for a Data Engineer role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data solutions, especially those using Microsoft technologies. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Be ready to discuss your experience with data pipelines, ETL processes, and any projects you've worked on that align with the job description.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining our team and contributing to our data-driven decision-making.
We think you need these skills to ace Data Engineer - Contract
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Microsoft data technologies and financial services. We want to see how your skills align with the job description, so don’t be shy about showcasing relevant projects!
Showcase Your Skills: When writing your application, emphasise your expertise in data pipelines, ETL/ELT processes, and any experience with Azure services. We love seeing candidates who can clearly communicate their technical abilities.
Be Clear and Concise: Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences quickly.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Jefferson Frank
✨Know Your Tech Stack
Make sure you’re up to speed with Microsoft data technologies, especially SSIS and Azure. Brush up on your SQL Server skills and be ready to discuss how you've used these tools in your previous roles.
✨Showcase Your Financial Services Experience
Since financial services experience is a must, prepare examples of how you've navigated data challenges in this sector. Be ready to explain how your work has supported data-driven decision-making.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You’ll need to collaborate with various stakeholders, so being able to communicate effectively is key. Think of examples where you’ve done this successfully.
✨Embrace Agile Methodologies
Familiarise yourself with Agile practices, particularly if you have experience with Kanban. Be prepared to discuss your role in Agile ceremonies and how you’ve contributed to team success in past projects.
