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For Companies At a Glance
- Tasks: Design and maintain cloud-native data pipelines while ensuring data security and compliance.
- Company: Join a rapidly growing specialist (re)insurance organisation focused on innovative technology and data solutions.
- Benefits: Enjoy flexible working options, mentorship opportunities, and a collaborative team environment.
- Why this job: Be part of a cutting-edge team that values innovation and continuous improvement in tech.
- Qualifications: Expertise in Azure/GCP, data warehousing, and hands-on scripting is essential.
- Other info: Ideal for tech-savvy individuals eager to make an impact in the insurance sector.
The predicted salary is between 48000 - 72000 £ per year.
Job Description
Role Profile: Data Engineer\\n Reporting to: Lead Data Engineer\\n\\nBackground\\n A rapidly growing specialist (re)insurance organisation is building out its technology and data infrastructure. This role supports the delivery of secure, scalable cloud data solutions, aligning with business and compliance needs.\\n\\nKey Responsibilities\\n\\nDesign, build, and maintain cloud-native data pipelines (Azure/GCP)\\n\\nImplement scalable data management frameworks: observability, validation, lineage\\n\\nTranslate business needs into effective technical prototypes and solutions\\n\\nCollaborate with stakeholders, data teams, and service partners\\n\\nEnsure data security, governance, and regulatory compliance\\n\\nMonitor and optimise cloud resource usage and performance\\n\\nAutomate data lifecycle tasks to improve speed, consistency, and reliability\\n\\nSupport analytics teams with clean, modelled data for self-service tools\\n\\nMentor peers, share documentation, and support technical best practices\\n\\nIntegrate infrastructure and data services across cloud platforms\\n\\nSkills and Experience\\n\\nExpertise in cloud platforms:\\n\\nAzure: Data Factory, Synapse, Monitor, ARM\\n\\nGCP: BigQuery, Dataflow, Cloud Composer, Pub/Sub\\n\\nStrong knowledge of data warehousing, storage, and modelling\\n\\nExperience with ETL/ELT processes and performance tuning\\n\\nHands-on scripting (Python, PowerShell) for automation\\n\\nFamiliarity with CI/CD tools (Azure DevOps, GitHub Actions)\\n\\nInfrastructure as Code: Terraform, ARM templates\\n\\nWorking knowledge of data catalogues (Azure Purview, GCP Data Catalog)\\n\\nKnowledge of GDPR, HIPAA, RBAC, encryption, and auditing\\n\\nInsurance data familiarity: placements, claims, policies, underwriting\\n\\nEffective stakeholder communication and delivery focus\\n\\nStrong project and time management in fast-paced environments\\n\\nDesirable Tools and Tech\\n\\nPower BI, Tableau, Looker, Domo\\n\\nData governance and metadata management tools\\n\\nDevOps for data workflows, hybrid/multi-cloud architectures\\n\\nMonitoring and cost optimisation tools (Azure Monitor, GCP cost tools)\\n\\nCulture and Conduct\\n\\nAct as a role model for integrity, professionalism, and teamwork\\n\\nUphold all compliance, legal, and internal policy standards\\n\\nSeek innovation and continuous improvement in all technical efforts
GCP Data Engineer - May 2025 employer: Tenth Revolution Group
Contact Detail:
Tenth Revolution Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land GCP Data Engineer - May 2025
✨Tip Number 1
Familiarise yourself with the specific cloud platforms mentioned in the job description, particularly GCP and Azure. Understanding their tools like BigQuery, Dataflow, and Data Factory will give you a significant edge during interviews.
✨Tip Number 2
Showcase your experience with data pipelines and ETL/ELT processes. Be prepared to discuss specific projects where you've implemented these solutions, as practical examples can really impress potential employers.
✨Tip Number 3
Highlight your knowledge of data governance and compliance standards such as GDPR and HIPAA. Being able to articulate how you've ensured data security and compliance in past roles will demonstrate your suitability for this position.
✨Tip Number 4
Network with professionals in the insurance and data engineering fields. Engaging with industry-specific groups on platforms like LinkedIn can provide insights and potentially lead to referrals, increasing your chances of landing an interview with us.
We think you need these skills to ace GCP Data Engineer - May 2025
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description. Focus on your expertise in cloud platforms like GCP and Azure, as well as your knowledge of data warehousing and ETL processes.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your understanding of the insurance industry. Mention specific projects or experiences that demonstrate your ability to design and maintain cloud-native data pipelines.
Showcase Technical Skills: In your application, emphasise your hands-on scripting abilities, familiarity with CI/CD tools, and experience with infrastructure as code. Provide examples of how you've used these skills in previous roles.
Highlight Collaboration Experience: Since the role involves collaboration with stakeholders and data teams, include examples of how you've successfully worked in teams. Discuss any mentoring experiences or how you've contributed to technical best practices.
How to prepare for a job interview at Tenth Revolution Group
✨Showcase Your Cloud Expertise
Make sure to highlight your experience with GCP and Azure during the interview. Be prepared to discuss specific projects where you've designed or maintained cloud-native data pipelines, as this will demonstrate your hands-on knowledge and ability to deliver secure, scalable solutions.
✨Understand Data Governance
Familiarise yourself with GDPR, HIPAA, and other compliance standards relevant to the role. Be ready to explain how you have ensured data security and governance in past projects, as this is crucial for the organisation's operations.
✨Prepare for Technical Questions
Expect technical questions related to ETL/ELT processes, data warehousing, and performance tuning. Brush up on your scripting skills, particularly in Python and PowerShell, as you may be asked to solve problems or automate tasks on the spot.
✨Demonstrate Collaboration Skills
Since the role involves working closely with stakeholders and data teams, be prepared to discuss examples of how you've successfully collaborated in the past. Highlight your communication skills and how you've translated business needs into effective technical solutions.
