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- Tasks: Join our Data team to design and develop innovative data solutions using Azure and Databricks.
- Company: Canopius, a leading global specialty lines (re)insurer with a positive culture.
- Benefits: Enjoy hybrid working, competitive salary, health insurance, and a supportive work environment.
- Why this job: Make an impact in the insurance industry while working with cutting-edge data technologies.
- Qualifications: Experience in data engineering, Azure, and strong analytical skills are essential.
- Other info: Dynamic team environment with opportunities for growth and development.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a Data Engineer to work within our growing Data team to help shape and enhance our data capabilities. The role is to provide data engineering expertise to support delivery of our programme of work. This will include a broad range of initiatives, including Finance and Actuarial, Claims Augmentation utilising AI, and a number of Azure Data Platform and Databricks deliverables. This role is an opportunity to apply your expertise in Azure, Databricks and data engineering techniques to business projects. It requires an in-depth technical knowledge combined with the ability to engage directly with senior business stakeholders in a range of our business domains. The role will also involve supporting development activities on our legacy SQL Server data warehouses and aiding in the transition over to the Azure platform. The candidate should have experience of working in an Agile delivery environment. The candidate will ideally have experience and knowledge of processes within insurance, and the ability to work directly with business stakeholders, understand business problems and deliver effective solutions. They should be comfortable collaborating and working as part of a dynamic multi-disciplinary team.
Responsibilities will include:
- Designing, developing and maintaining data solutions using components such as Azure Data Factory, Databricks, and Azure SQL Database
- Providing technical guidance and support to the development team as a senior member of the project development team.
- Assisting in creating and maintaining comprehensive documentation of data transformations, processes and systems
- Fostering communications and relationships between team members and stakeholders to ensure that expectations are managed and that teams are aligned
- Development of good internal client relationships
- Working to bridge any gaps between the offshore, third-party development team, the internal development team and business stakeholders on the project.
- Keeping abreast of developments and trends in data and reporting technology
- Planning, tracking and managing the progress of development activities in coordination with project managers and scrum masters.
Skills and experience:
- Experience in developing data solutions, demonstrating understanding of relational databases, common data warehousing concepts, ETL processes and data modelling
- Strong T-SQL skills with experience in querying and manipulating data
- Familiarity of working within an Agile delivery environment, leveraging tools including Kanban boards, repositories and CI/CD pipelines
- Strong analytical and problem-solving skills, with a keen eye for detail
- Experience with Azure Data Factory (ADF), or SQL Server Integration Services (SSIS)
- Experience with Azure Databricks and Python
- Experience with Master Data Services (MDS) are beneficial
- Insurance or other financial service experience is desirable, preferably within a Lloyd's Managing Agency
Including the following competencies:
- Stakeholder Engagement: Builds strong internal client relationships and fosters effective communication between team members, stakeholders and third-party partners to ensure expectations are managed and teams remain aligned.
- Collaboration and Teamwork: Works collaboratively within an Agile delivery environment, providing technical guidance to the development team and coordinating effectively with project managers and scrum masters to track and deliver development activity.
- Adapting to Change: Applies strong analytical and problem-solving skills to respond effectively to changing requirements, challenges and technical complexities as they arise.
- Continuous Improvement: Contributes to the ongoing improvement of data solutions by developing robust, well-documented processes and applying a strong understanding of data warehousing, ETL and data modelling best practices.
- Innovation: Designs and develops modern data solutions using Azure and related technologies, applying strong technical expertise to deliver effective, scalable and high-quality data platforms.
- Resilience: Demonstrates resilience by managing technical challenges, coordinating across multiple teams and stakeholders, and maintaining delivery focus within an Agile project environment.
- Future Focused: Maintains awareness of emerging trends and developments in data and reporting technologies, applying this knowledge to support future-ready data solutions.
About Us
Our benefits We offer all employees a comprehensive benefits package that focuses on their whole wellbeing. This includes hybrid working, a competitive base salary, non-contributory pension, discretionary bonus, insurances including health (family) and dental cover, and many other benefits to enhance financial, physical, social and psychological health.
About Canopius Canopius is a global specialty lines (re)insurer. We are one of the leading insurers in the Lloyd’s of London insurance market with offices in the UK, US, Singapore, Australia and Bermuda. At Canopius we foster a distinctive, positive culture which enables us to bring our whole selves to work to flourish as people, and build a business which delivers profitable, sustainable results. Based in incredible new offices in the heart of the City of London, Canopius operates a flexible, hybrid working model and is committed to providing an environment that challenges employees to be their best and where everyone's unique contributions are recognised, valued and respected. We are fully committed to equal employment opportunities for all applicants and providing employees with a work environment free of discrimination and harassment. All employment decisions are made regardless of age, sex, gender identity, ethnicity, disability, sexual orientation, socio-economic background, religion or beliefs, marital or caring status, or any other status protected by the laws or regulations in the locations where we operate. We encourage and welcome applicants from all diverse backgrounds. We make reasonable adjustments throughout the recruitment process and during employment. Please let us know if you require any information in an alternate format or any other reasonable adjustments.
Data Engineer in Manchester employer: Canopius
Contact Detail:
Canopius Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. A friendly chat can give you insider info and maybe even a referral, which is gold in the job hunt.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can talk confidently about Azure, Databricks, and your data engineering experience. Practice common interview questions and have examples ready to showcase your problem-solving skills.
✨Tip Number 3
Show off your collaborative spirit! Be ready to discuss how you've worked with teams in Agile environments. Highlight your ability to communicate effectively with stakeholders and how you’ve contributed to successful projects.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining our team at Canopius.
We think you need these skills to ace Data Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Azure, Databricks, and any relevant data engineering techniques. We want to see how your skills align with our needs!
Showcase Your Projects: Include specific projects where you've used data solutions, especially in an Agile environment. This helps us understand your hands-on experience and how you tackle real-world problems.
Engage with Stakeholders: Mention any experience you have in engaging with business stakeholders. We value candidates who can bridge the gap between technical and non-technical teams, so share examples of how you've done this.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Canopius
✨Know Your Tech Inside Out
Make sure you brush up on your Azure, Databricks, and SQL skills. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them. This will show that you not only have the technical know-how but also the practical experience.
✨Engage with Stakeholders
Since the role involves working closely with business stakeholders, practice articulating how you've successfully engaged with them in the past. Think of examples where you identified their needs and delivered effective solutions. This will demonstrate your ability to bridge the gap between technical and non-technical teams.
✨Show Your Agile Mindset
Familiarise yourself with Agile methodologies if you haven't already. Be prepared to discuss how you've contributed to Agile teams, perhaps by using Kanban boards or CI/CD pipelines. Highlighting your adaptability and teamwork will resonate well with the interviewers.
✨Stay Current with Trends
Keep an eye on emerging trends in data and reporting technologies. During the interview, mention any recent developments you've come across and how they could be applied to enhance data solutions. This shows that you're not just focused on the present but are also future-oriented.
