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Hiring: Senior Data Engineering Consultant

  • Jul 31
  • 4 min read
Hiring poster for Bespoke Analytics: Senior Data Engineering Consultant, with blue panel, white text, and abstract glowing data waves.
Join Bespoke Analytics Today

Reinsurance data is not tidy. Treaty structures, bordereaux, retrocession, legacy policy administration systems that have been extended for fifteen years. Turning that into something a CFO can report from, and an auditor can trace, is the work.


Bespoke Analytics is hiring a Senior Data Engineering Consultant to design and deliver that work for clients across Bermuda and internationally. You will build enterprise data solutions on the Microsoft stack, SQL Server, SSIS, SSAS, Power BI, Azure and Microsoft Fabric, and automate modern data warehouses using the TimeXtender Data Platform.


A significant part of the role supports implementations of our partner's INTX insurance platform, including migrating historical client data and building integrations to back office systems. You will also mentor our junior consultants and set the technical standard for how we deliver.


This suits an engineer who wants client contact and ownership, not a ticket queue. If you would rather solve the business problem than be handed the spec, this is the right team.


Location: Bermuda | Type: Full-time | Compensation: Salary and benefits commensurate with experience



Senior Data Engineering Consultant - Position Overview


Bespoke Analytics is seeking an experienced Senior Data Engineering Consultant to design, develop, and deliver modern data, analytics, integration, and artificial intelligence solutions for clients.


The successful candidate will have strong expertise across the Microsoft data technology stack and a proven ability to lead technical engagements, work directly with clients, and deliver high-quality solutions independently and as part of a multidisciplinary team.


This role will also support the implementation of our partner’s INTX insurance software platform. Key responsibilities will include migrating historical data into INTX and developing integrations between the platform and clients’ back-office systems.


Key Responsibilities


  • Design, build, test, deploy, and maintain scalable data pipelines and data integration solutions.

  • Develop data warehouse, business intelligence, reporting, and analytics solutions using the Microsoft technology stack.

  • Lead technical discovery sessions and translate business requirements into practical data and integration architectures.

  • Develop and optimize solutions using technologies such as:

  • Microsoft SQL Server

  • SQL Server Analysis Services

  • SQL Server Integration Services

  • Microsoft Power BI

  • Microsoft Azure data services

  • Microsoft Fabric

  • Use the TimeXtender Data Platform to automate data ingestion, transformation, modelling, documentation, and deployment processes.

  • Lead or support the migration of historical client data into the INTX insurance software platform.

  • Design and build integrations between INTX’s Commercial Insurance and Reinsurance platform with other back office, reporting and group systems.

  • Profile, cleanse, reconcile, and validate data to ensure accuracy and completeness throughout migration and integration projects.

  • Develop data models, dashboards, reports, and analytical solutions that meet client operational and regulatory requirements.

  • Participate in the design and delivery of artificial intelligence and machine learning solutions where appropriate.

  • Provide technical leadership, mentoring, and quality assurance for junior team members.

  • Produce technical specifications, solution designs, data mappings, test plans, operating procedures, and other project documentation.

  • Manage assigned deliverables, risks, dependencies, and client expectations.

  • Support production implementations, troubleshooting, performance optimization, and ongoing client support.

  • Build strong relationships with client stakeholders and communicate technical concepts clearly to both technical and non-technical audiences.


Required Qualifications and Experience


  • Significant professional experience in data engineering, data integration, business intelligence, or data warehousing.

  • Advanced proficiency with Microsoft SQL Server, including database design, T-SQL development, performance optimization, and data transformation.

  • Strong experience with SQL Server Integration Services, SQL Server Analysis Services, and Microsoft Power BI.

  • Demonstrated experience designing and delivering end-to-end data pipelines and enterprise data solutions.

  • Strong understanding of dimensional modelling, data warehousing, data quality, master data, and data governance principles.

  • Experience leading client-facing technical engagements and delivering solutions with limited supervision.

  • Strong analytical, problem-solving, communication, and stakeholder-management skills.

  • Ability to manage multiple priorities and work effectively both independently and within a team.


Preferred Qualifications and Experience


  • Experience with Microsoft Azure data services, Azure SQL, Microsoft Fabric, or related cloud technologies.

  • Experience with the TimeXtender Data Platform or another data warehouse automation platform.

  • Experience delivering data solutions within insurance, reinsurance, banking, financial services, or another regulated industry.

  • Experience migrating data into insurance policy administration or financial software platforms.

  • Experience building application and system integrations using APIs, web services, file-based interfaces, or messaging technologies.

  • Experience designing or delivering artificial intelligence, machine learning, or generative AI solutions.

  • Experience using Microsoft Visual Studio to develop desktop or web applications.

  • Knowledge of C#, .NET, Python, or other relevant development technologies would be advantageous.

  • Microsoft, Azure, Power BI, Fabric, or TimeXtender certifications would be beneficial.


Personal Attributes


  • Professional and confident in client-facing situations.

  • Able to take ownership of complex assignments and deliver results independently.

  • Collaborative and willing to mentor and support colleagues.

  • Detail-oriented, organized, and committed to producing high-quality work.

  • Commercially aware and capable of balancing technical quality with project timelines and client needs.

  • Comfortable working in a consulting environment across multiple clients and projects.


What We Offer


  • The opportunity to work on varied and technically challenging projects.

  • Exposure to modern data, cloud, integration, insurance technology, and AI platforms.

  • A collaborative consulting environment with opportunities for professional growth.

  • Salary and benefits commensurate with qualifications and experience.

  • A Bermuda-based role supporting local and international clients.


Apply here or send your application and CV to info@bespoke.bm


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