At a Glance
- Tasks: Design and optimise data pipelines for a major insurance client.
- Company: Billigence, a global boutique data consultancy transforming data usage.
- Benefits: Competitive daily rate, hybrid work, and career development opportunities.
- Other info: Collaborative culture with access to industry-leading technologies.
- Why this job: Join a high-performing team and work with cutting-edge data technologies.
- Qualifications: Experience in data engineering and the insurance industry is essential.
The predicted salary is between 49500 - 60500 £ per year.
About Billigence:
Billigence is a boutique data consultancy with global outreach and clientele, transforming the way organisations work with data. We leverage proven, cutting-edge technologies to design, tailor, and implement advanced Business Intelligence solutions across Cloud Data Warehousing, Visualisation, Data Science, Data Engineering, and Data Governance.
Headquartered in Sydney, Australia, with offices around the world, we help clients navigate complex business challenges, eliminate inefficiencies, and enable scalable, data-driven decision making.
About the Role:
We are looking for two experienced Data Engineers to join a major client engagement within the insurance sector. This is a hybrid position based in Dublin, requiring attendance on-site 2-3 days per week.
You will work as part of a high-performing data team, designing, building, and optimising modern data platforms and pipelines that support critical business initiatives. Candidates must have previous experience working within the insurance industry and understand the complexities of insurance data, systems, and business processes.
What You'll Do
- Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
- Build and optimise cloud-based data solutions and data platforms.
- Integrate data from multiple source systems into enterprise data environments.
- Work closely with business stakeholders, architects, analysts, and developers to deliver data solutions.
- Ensure data quality, performance, and reliability across the platform.
- Support data modelling, transformation, and optimisation activities.
- Contribute to best practices around engineering, testing, documentation, and deployment.
What You'll Need
- Proven experience as a Data Engineer delivering enterprise-scale data solutions.
- Previous experience working within the insurance industry is essential.
- Strong understanding of insurance data models, business processes, and domain concepts.
- Experience building modern data pipelines using cloud technologies.
- Strong SQL skills and experience with data integration and transformation.
- Experience working with modern data platforms and cloud ecosystems such as Azure, AWS, or GCP.
- Familiarity with data warehousing concepts and best practices.
- Excellent communication skills with the ability to work collaboratively across technical and business teams.
- Experience working within Agile delivery environments.
Location
- Dublin, Ireland
- Hybrid working - 2-3 days per week on-site
Benefits
- Competitive daily rate (depending on engagement).
- Hybrid working environment.
- Opportunity to work on enterprise-scale data transformation programmes.
- Access to industry-leading technologies and experienced data professionals.
- Ongoing learning, certification, and career development opportunities.
- Collaborative and supportive consultancy culture.
Got any questions?
Contact:
UK.Recruitment@Billigence.com
#J-18808-Ljbffr
Data Engineer – Insurance Domain employer: Billigence
Billigence is an exceptional employer that fosters a dynamic and inclusive work culture, offering flexible hybrid working arrangements to support a healthy work-life balance. With a strong focus on employee growth, we provide extensive coaching, mentoring, and certification opportunities, ensuring that our Data Engineering Consultants can thrive in their careers while working on impactful projects for renowned clients across the UK and Europe.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer – Insurance Domain
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Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Billigence
✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
