Associate Data Engineer (Bordereaux)

Jensten
Huntingdon
3 days ago
Create job alert

Join to apply for the Associate Data Engineer (Bordereaux) role at Jensten.


Responsibilities

  • Develop and maintain bordereaux reporting solutions that transform raw data from various systems into standardized formats.
  • Process and validate bordereaux files (premium and risk data) to ensure accuracy, completeness, and compliance with business requirements.
  • Assist the wider data engineering team with bug fixes, enhancements, and maintenance of our internal data platform.
  • Support the development of ETL pipelines using Azure Data Factory and Fabric Data Pipelines.
  • Maintain existing centralised report generation procedures to ensure all data reported comes from a single source of truth.
  • Reconcile processed data against internal systems to identify and resolve discrepancies
  • Map and transform data from SQL databases into standardized templates, ensuring that data is accurate and aligns with the insurer's requirements.
  • Work closely with underwriting and finance teams to understand bordereaux reporting requirements and ensure that data is processed in a way that supports operational and regulatory needs.
  • Support the production of accurate and timely bordereaux reports for internal stakeholders and regulatory authorities
  • Ensure that bordereaux processing meets regulatory standards (e.g. GDPR).

About You

  • Experience in data processing, ETL development, or Insurance bordereaux management
  • Hands‑on experience in the Insurance industry, particularly in handling premium (desirable)
  • Experience in using T‑SQL and SQL Server
  • Experience with Azure, Fabric, Power BI & Excel (desirable)
  • Experience with SSRS (desirable)
  • Strong attention to detail, particularly in ensuring data accuracy and consistency during transformations.
  • Analytical mindset with the ability to troubleshoot data discrepancies and resolve complex data issues.
  • Strong written and verbal communication skills, with the ability to work closely with both technical and non-technical stakeholders.
  • Experience working in cross‑functional teams, including business analysts, underwriters, and IT.

Rewards & Benefits

  • Competitive salary with an annual pay review and bonus scheme.
  • 27 days annual leave (includes a day off for your birthday and another for a religious holiday of your choice) + bank holidays
  • Auto enrolment into our excellent pension scheme (5% employer matched contribution)
  • Flex‑benefits – a range of flexible benefits to choose from, that are most important to you
  • Group Life Assurance cover – a massive X4 of salary
  • 3 months Maternity, Paternity & Adoption leave all fully paid
  • Professional qualification study support relevant to your role and career
  • Perks at work – amazing discounts on cinema tickets, meals out, luxury items etc.
  • Holiday purchase scheme – up to 5 days annually

About Us

Launched in 2018, Jensten is one of the UK's largest independent broking groups. Growing organically and through strategic acquisition we now place over £650m GWP into the market via retail insurance broking, Lloyd's and London Market broking, and specialist underwriting arms. We fill the void in the market between a consolidator and a provincial broker. We have the scale, ambition and expertise to stand out, but the people, culture and entrepreneurial DNA to maintain our client focus. Which is why we are not just one of the leading independent broking groups, we are one of the most exciting too. Our goal is to have people in our Group that enjoy being part of one team with the shared commitment to delivering insurance distribution excellence. A big part of how we do this is by listening and then acting on what we hear. Our EVP work is key to maintaining and enhancing our culture and making Jensten Group a fantastic place to work, learn and grow.


#J-18808-Ljbffr

Related Jobs

View all jobs

Associate Data Engineer (Bordereaux)

Bordereaux Data Engineer — Azure ETL & Reporting

Hybrid Data Engineer – Bordereaux & Azure Pipelines

Associate Data Scientist

Associate Data Scientist

Associate Director Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.