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- Tasks: Transform data landscapes and optimise pipelines in a fast-paced environment.
- Company: Join a dynamic team on a significant data transformation journey.
- Benefits: Competitive daily rate, hybrid work, and opportunities for professional growth.
- Why this job: Make an immediate impact and shape the future of data architecture.
- Qualifications: Strong SQL skills and experience with Azure data services.
- Other info: Collaborative culture focused on diversity and inclusion.
Are you a Data Engineer who thrives in fast-moving environments? Do you enjoy bringing structure to complexity and making data truly work for a business? Looking for a contract where you can make an immediate, visible impact?
Contract Data Engineer (Azure) – Immediate Start
Hybrid (1–2 days per week onsite) | £500–£600 per day | 6–12 months | 1-2 days on site per week
Our client is undergoing a significant data transformation journey and is looking for a senior Data Engineer to step in and make an immediate difference. This is a hands-on contract role where your expertise will directly support critical data operations while helping shape a more scalable and structured future.
You’ll join a collaborative, high-performing team that is currently balancing business-as-usual delivery with ongoing platform improvements—and your contribution will be key in easing that pressure.
Why This Role is Great- Take ownership from day one – step into a role where your experience is trusted, and your impact is immediate
- Shape and improve a live data platform – help stabilise and evolve an existing Azure-based environment
- Work across varied challenges – from pipeline optimisation to data modelling and architectural input
- Be part of a collaborative, supportive team – working closely with analytics, business stakeholders, and technical peers
- Develop architectural exposure – contribute to data design decisions, not just delivery
- Make a tangible difference – help move a business from reactive data handling to a more structured, scalable approach
You’ll be immersed in a modern Microsoft data ecosystem, including:
- Azure SQL & broader Azure data services
- Azure Data Factory & ETL/ELT pipelines
- Power BI and downstream analytics use cases
- Data modelling across warehouse/lakehouse environments
- Integration of multiple data sources (APIs, databases, cloud storage)
- Performance optimisation, data quality, and governance practices
This role blends hands-on engineering with elements of data architecture, offering plenty of scope to influence how things are built moving forward.
About YouThis role would suit someone who:
- Enjoys working in fast-paced, evolving environments where priorities can shift
- Is comfortable stepping into partially structured or “messy” data landscapes and improving them
- Brings a calm, solution-focused mindset to problem-solving
- Values collaboration and knowledge-sharing over ego
- Takes pride in delivering reliable, high-quality data solutions
You’ll also get the opportunity to:
- Build on your experience with complex data platforms at scale
- Work closely with both technical and non-technical stakeholders
- Contribute to meaningful improvements in data architecture and processes
We’re keen to hear from people who bring a mix of the following:
- Strong SQL and data modelling expertise
- Proven experience building and maintaining ETL/ELT pipelines
- Hands-on experience with the Microsoft Azure data platform
- Familiarity with tools such as Azure Data Factory, Synapse, or similar
- Experience integrating data from varied sources (APIs, files, databases)
- Understanding of performance optimisation and data quality best practices
- Exposure to data architecture concepts or working alongside architects
Bonus (but not essential):
- Experience in large-scale or complex data environments
- Familiarity with governance, security, or compliance considerations
- Any exposure to cloud-native data processing frameworks
Small, collaborative data team with strong domain knowledge. Close alignment with analytics and business stakeholders. A mix of planned improvements and reactive delivery work. A genuine opportunity to bring structure and influence direction. This is an ideal role for someone who enjoys rolling up their sleeves while also thinking strategically.
Diversity & InclusionWe and our client are committed to building inclusive environments where everyone can thrive. We welcome applications from all backgrounds, experiences, and perspectives. If you don’t meet every requirement but feel this role could be a great fit, we’d still love to hear from you.
Apply NowIf you’re a contract Data Engineer ready to make an immediate impact, apply today or get in touch to learn more.
Data Engineer (Azure) - £500pd - ID47221 in Bristol employer: Humand Talent
Contact Detail:
Humand Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Azure) - £500pd - ID47221 in Bristol
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure. A friendly chat can lead to insider info about job openings or even referrals that could land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving Azure SQL and ETL/ELT pipelines. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering challenges. Be ready to discuss how you've tackled messy data landscapes and improved data quality in past roles. We want to see your problem-solving skills in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and eager to join our collaborative team.
We think you need these skills to ace Data Engineer (Azure) - £500pd - ID47221 in Bristol
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Data Engineer (Azure). Highlight your experience with Azure data services, ETL/ELT pipelines, and any relevant projects that showcase your skills. We want to see how you can bring structure to complexity!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this fast-paced environment. Share specific examples of how you've made an impact in previous roles, especially in data transformation or optimisation.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—demonstrate them! Talk about challenges you've faced in messy data landscapes and how you approached them. We love a calm, solution-focused mindset, so let that shine through!
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 this exciting opportunity. Plus, it shows you’re keen to join our collaborative team!
How to prepare for a job interview at Humand Talent
✨Know Your Azure Inside Out
Make sure you brush up on your Azure knowledge before the interview. Familiarise yourself with Azure SQL, Data Factory, and any other relevant services mentioned in the job description. Being able to discuss your hands-on experience with these tools will show that you're ready to hit the ground running.
✨Prepare for Real-World Scenarios
Expect to be asked about specific challenges you've faced in data engineering. Think of examples where you've optimised ETL/ELT pipelines or improved data quality. This is your chance to showcase your problem-solving skills and how you can bring structure to complex data landscapes.
✨Showcase Collaboration Skills
Since this role involves working closely with both technical and non-technical stakeholders, be prepared to discuss how you've successfully collaborated in the past. Highlight instances where you've shared knowledge or worked as part of a team to achieve a common goal.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions. Inquire about the current data challenges the team is facing or how they envision the data transformation journey. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.