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- Tasks: Build high-quality data solutions using Microsoft technologies and collaborate on exciting projects.
- Company: Join a dynamic team in a fully remote, innovative environment.
- Benefits: Competitive pay, flexible work hours, and opportunities for professional growth.
- Why this job: Make an impact in the financial services sector while working with cutting-edge data technologies.
- Qualifications: 3-7 years in Data Engineering, strong analytical skills, and experience with Microsoft Data Platform.
- Other info: Engage in Agile practices and enjoy a collaborative team culture.
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.
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: Cyber Security training courses
Contact Detail:
Cyber Security training courses 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 an opportunity or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best 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 Agile methodologies. Practice makes perfect!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our team. Plus, it gives us a chance to see your enthusiasm right from the start.
We think you need these skills to ace Data Engineer - Contract
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Microsoft data technologies, especially SSIS and Azure, as these are key for us. Use specific examples that showcase your skills in financial services and data solutions.
Showcase Your Projects: Include details about projects you've worked on that align with our requirements. If you've built data pipelines or collaborated on cross-functional teams, let us know! This gives us a clear picture of your hands-on experience.
Keep It Clear and Concise: When writing your application, clarity is key. Avoid jargon and make sure your technical skills are easy to understand. We want to see your analytical abilities shine through without getting lost in complex language.
Apply Through Our Website: We encourage you to apply directly through our website. This helps us keep track of your application and ensures it reaches the right team. Plus, it’s super easy and straightforward!
How to prepare for a job interview at Cyber Security training courses
✨Know Your Tech Stack
Make sure you’re well-versed in the Microsoft data technologies mentioned in the job description, especially SQL Server, SSIS, and Azure services. Brush up on your ETL/ELT processes and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Financial Services Experience
Since financial services experience is a must, prepare specific examples of how you've worked in this sector. Highlight any projects where you’ve delivered data solutions that supported decision-making in a regulated environment.
✨Communicate Clearly
You’ll need to explain complex technical concepts to non-technical stakeholders. Practice articulating your past experiences in a way that’s easy to understand, focusing on the impact of your work rather than just the technical details.
✨Embrace Agile Methodologies
Familiarise yourself with Agile practices, particularly if you have experience with Kanban. Be prepared to discuss how you’ve participated in Agile ceremonies and how they’ve contributed to successful project outcomes.