At a Glance
- Tasks: Design and optimise data platforms in a cloud-first environment, working with real-time data solutions.
- Company: A growing UK-based IT consultancy known for innovation and quality.
- Benefits: Up to £500 per day, remote work, and potential for contract extensions.
- Other info: Collaborative culture with opportunities for continuous learning and career growth.
- Why this job: Join a dynamic team and make an impact on transformative technology solutions.
- Qualifications: Experience in data engineering, cloud platforms, and strong skills in Python and T-SQL.
Location: Remote, UK
Salary: Up to £500 per day, Outside IR35
Duration: Initially 3 months with high probability of further extensions
Industry: Consultancy
About the Client
Our client is a growing UK-based IT services and consulting firm with strong expertise in cloud, security, infrastructure, and managed services. With a team of over 450 specialists spanning software development, network engineering, cyber security, project management and support, they serve a diverse client base across the private and public sectors. Driven by innovation and quality, they combine strategic thinking with deep technical capability to deliver transformational technology solutions.
How you’ll spend your day
As a Data Engineer, you’ll play a key role in designing, building, and optimising modern data platforms within a cloud-first environment, working across both batch and real-time data solutions.
You’ll be responsible for:
- Designing and building scalable ETL/ELT pipelines using Microsoft Fabric and Azure Data Factory
- Developing robust data solutions using Python, PySpark, and T-SQL for transformation and orchestration
- Implementing data ingestion frameworks across multiple sources (APIs, files, streaming, CDC)
- Designing and maintaining data models (star schema, snowflake, medallion architecture) optimised for analytics and reporting
- Collaborating closely with BI teams to ensure data models support Power BI and downstream analytics use cases
- Building and maintaining Lakehouse and data warehouse solutions within Microsoft Fabric
- Ensuring data quality, governance, and security standards are implemented across platforms
- Monitoring and optimising performance across pipelines, databases, and data platforms
- Supporting CI/CD processes using Azure DevOps and Git-based workflows
- Working with cross-functional teams (Data, BI, AI, and stakeholders) to translate business requirements into scalable data solutions
- Contributing to architecture decisions and evolving the overall data platform strategy
What you’ll bring to this role
We’re looking for a technically strong Data Engineer with experience across modern cloud data platforms and a passion for building high-quality, scalable solutions.
You’ll bring:
- Strong experience in data engineering, data modelling, and pipeline development
- Hands-on experience with Microsoft Fabric and Azure data services (ADF, Data Lake, Synapse, Databricks)
- Proficiency in Python / PySpark and T-SQL for data processing and optimisation
- Experience designing and implementing ETL/ELT pipelines, including orchestration and monitoring
- Solid understanding of data modelling techniques (Kimball, star schema, medallion architecture)
- Experience working with batch and streaming data pipelines
- Familiarity with CI/CD practices using Azure DevOps and Git
- Strong understanding of data governance, security, and best practices (RBAC, GDPR, data quality frameworks)
- Experience collaborating with BI teams, with working knowledge of Power BI and DAX concepts
You’ll also demonstrate:
- Strong analytical and problem-solving skills
- The ability to translate complex requirements into practical solutions
- Excellent communication and stakeholder management skills
- A proactive, adaptable mindset in fast-paced environments
- A collaborative approach, with a focus on continuous improvement and knowledge sharing
What happens next?
One of our Recruitment Consultants will be in touch and inform you if you’ve been successful to the next stage of the process or not, which is a qualification call where we will tell you more about the role and the client, and understand more about you, your experience and career aspirations.
Should we both wish to proceed, we will submit your details to the client and be in touch regarding the outcome and any further steps.
Equal Opportunities
We are committed to providing equal opportunities for all candidates and welcome applications from individuals regardless of age, disability, gender identity, marital status, race, religion or belief, sexual orientation, or any other characteristic protected by law. As an employment agency for permanent and contract hires, we are dedicated to promoting a diverse and inclusive workforce, and we encourage applications from underrepresented groups to drive innovation and equality within the workplace.
Should you require any reasonable adjustments please let us know so we can accommodate for any interactions with us at Biometric Talent, but also inform the client to ensure reasonable adjustments are made to allow for a fair and equitable process.
Data Engineer employer: BIOMETRIC TALENT
As a leading IT services and consulting firm, our client offers an exceptional work environment for Data Engineers, characterised by a strong emphasis on innovation and collaboration. With a remote working model, employees enjoy the flexibility to balance their professional and personal lives while contributing to impactful projects across diverse sectors. The company fosters a culture of continuous learning and growth, providing ample opportunities for skill development and career advancement in a supportive and inclusive atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend virtual meetups, and engage with relevant online communities. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Microsoft Fabric and Azure services. 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 common data engineering questions and scenarios. Practice explaining your thought process when designing ETL pipelines or optimising data models. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re here to support you every step of the way, so let’s land that Data Engineer role together!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Microsoft Fabric, Azure services, and any relevant data engineering projects. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background makes you a great fit for our team. Keep it concise but impactful!
Showcase Your Technical Skills:Don’t forget to showcase your technical skills in your application. Mention your proficiency in Python, PySpark, and T-SQL, as well as your experience with ETL/ELT pipelines. We love seeing those skills in action!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at BIOMETRIC TALENT
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Microsoft Fabric, Azure Data Factory, and Python. Brush up on your ETL/ELT pipeline development skills and be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex data challenges in the past. Think about situations where you had to optimise data pipelines or ensure data quality and governance. This will demonstrate your analytical abilities and practical experience.
✨Understand the Business Context
Familiarise yourself with how data engineering supports business objectives, particularly in consultancy. Be ready to discuss how your work can impact decision-making and analytics, especially in relation to Power BI and stakeholder needs.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the company. Inquire about their current data challenges, team dynamics, or future projects. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
