At a Glance
- Tasks: Build scalable data pipelines and manage data infrastructure in Azure.
- Company: Join a rapidly expanding data consultancy focused on impactful solutions.
- Benefits: Enjoy hybrid working, 35 days holiday, pension scheme, and ongoing training.
- Other info: Diversity is valued; all backgrounds are encouraged to apply.
- Why this job: Work on diverse projects for impressive clients in a supportive, innovative culture.
- Qualifications: 2+ years of data engineering experience with skills in Python, SQL, and Azure.
The predicted salary is between 42500 - 57500 £ per year.
- Location: Central London (Finance District) | Hybrid
- Salary: Up to £70,000 + Bonus + Excellent Benefits
Mirai is proud to be supporting an award-winning and innovative insurance group that continues to invest heavily in its data capabilities. Having successfully placed several team members into the business already, we've seen first-hand the calibre of people, the collaborative culture, and the exciting growth journey they're on.
This is an opportunity to join a highly respected organisation that is transforming how data supports underwriting, claims, finance, and business decision-making across the group.
The Role
As a Data Engineer, you'll be responsible for building and maintaining scalable, reliable data solutions that turn complex and disparate data into trusted, accessible information for the wider business.
Working closely with data, analytics, and business stakeholders, you'll design and develop data pipelines, integration processes, and data products that support critical reporting, operational, and financial requirements.
This role offers exposure to modern cloud technologies, large-scale datasets, and the opportunity to help shape the future of the organisation's data platform.
What You'll Be Doing
- Develop, maintain, and optimise data pipelines and data models
- Design and build ETL/ELT processes integrating data from multiple sources
- Create high-quality, governed datasets to support business reporting and analytics
- Develop solutions using Microsoft Fabric, Azure Data Factory, Azure Functions, and Azure Service Bus
- Design and maintain APIs that support secure and scalable data access
- Monitor, troubleshoot, and optimise data platform performance
- Support Data Mesh principles and domain-led data ownership
- Work closely with stakeholders across finance, underwriting, claims, analytics, and technology teams
- Contribute to Agile delivery, CI/CD, and DevOps best practices
What We're Looking For
- 5+ years' experience in Data Engineering
- At least 2 years' experience within insurance, broking, MGA, carrier, or Lloyd's markets
- Strong experience with Microsoft Fabric or Azure Synapse
- Experience with Azure Data Factory, Azure Functions, and Azure Service Bus
- Advanced SQL skills with experience developing and optimising complex queries
- Python and/or PySpark experience
- Experience designing APIs and integration solutions
- Strong understanding of data modelling and data warehousing concepts
- Experience working within Agile delivery environments
- Excellent communication skills and the ability to engage technical and non-technical stakeholders alike
Why Join?
- Join an award-winning insurance group investing heavily in data and technology
- Work alongside a growing team where data is a strategic priority
- Exposure to modern cloud technologies and enterprise-scale data challenges
- Strong career development opportunities within a highly respected organisation
- Hybrid working in a prime Central London location
- Competitive salary, bonus, and benefits package
Mirai believes in the power of diversity and the importance of an inclusive culture. We welcome applications from individuals of all backgrounds, understanding that a range of perspectives strengthens both our team and the teams of our partners. This is just one of the ways we're taking positive action to shape a collaborative and diverse future in the workplace.
Data Engineer employer: Mirai Talent
Mirai Talent is an exceptional employer that fosters a vibrant work culture centred around innovation and community engagement. With a focus on meaningful missions, employees have the opportunity to grow alongside a dynamic team while contributing to impactful initiatives like 'she does data.' and the 'Let's Talk Data' podcast. Located in Manchester, the company offers flexible working arrangements and a competitive salary package, making it an attractive choice for those seeking a rewarding career in brand and community management.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Azure Data Factory, Databricks, and PySpark. Having hands-on experience or projects showcasing these skills can set you apart during discussions.
✨Tip Number 2
Network with current employees or professionals in the data engineering field, especially those who work with Azure. Engaging in conversations about their experiences can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your problem-solving approach in detail. The company values pragmatic solutions, so be ready to share examples of how you've tackled complex data challenges in previous roles.
✨Tip Number 4
Showcase your communication skills by practising explaining technical concepts in simple terms. This will demonstrate your ability to bridge the gap between technical and non-technical stakeholders, which is crucial for the role.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in data engineering, particularly with Python, SQL, and Azure. Use specific examples of projects where you've built data pipelines or managed data infrastructure.
Craft a Compelling Cover Letter:In your cover letter, express your passion for data engineering and how your skills align with the company's mission. Mention your experience with ETL tools and cloud platforms, and how you can contribute to their innovative projects.
Showcase Your Technical Skills:Include a section in your application that lists your technical skills, such as proficiency in PySpark, data modelling techniques, and automation scripting. This will help demonstrate your fit for the role.
Highlight Problem-Solving Abilities:Provide examples of how you've solved complex data challenges in previous roles. This could include optimising data pipelines or improving data quality, showcasing your pragmatic approach to problem-solving.
How to prepare for a job interview at Mirai Talent
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and PySpark in detail. Bring examples of projects where you've built data pipelines or managed data infrastructure, especially in Azure environments.
✨Demonstrate Problem-Solving Abilities
The company values pragmatic problem solvers. Be ready to share specific instances where you balanced technical solutions with business needs, highlighting your approach to overcoming challenges.
✨Communicate Clearly
As an excellent communicator, you should practice explaining complex data concepts in simple terms. This will show your ability to collaborate effectively with both technical and non-technical team members.
✨Emphasise Continuous Learning
The organisation prioritises growth and learning. Share how you stay updated with the latest technologies and methodologies in data engineering, and express your enthusiasm for ongoing training opportunities.
