BI Engineer

BI Engineer

Tonbridge Full-Time 32000 - 42000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and maintain data pipelines and BI solutions using Azure Data Factory and Power BI.
  • Company: Trinity Claims is transforming the insurance industry with data-driven insights.
  • Benefits: Enjoy a competitive salary, 25 days annual leave, on-site gym, free snacks, and birthday holiday.
  • Why this job: Join a dynamic team to shape data decision-making and enhance your BI skills.
  • Qualifications: 2+ years in BI/Data Engineering, advanced SQL and Power BI skills required.
  • Other info: This entry-level role offers a chance to grow in a supportive environment.

The predicted salary is between 32000 - 42000 £ per year.

Join to apply for the BI Engineer role at Trinity Claims

Join to apply for the BI Engineer role at Trinity Claims

Drive Data Insights at Trinity Claims

We\’re looking for a proactive BI Engineer to join our Data & Reporting team. In this role, you’ll design and maintain robust data pipelines and BI solutions using Azure Data Factory and Power BI, helping deliver clear, actionable insights across the business.

Drive Data Insights at Trinity Claims

We\’re looking for a proactive BI Engineer to join our Data & Reporting team. In this role, you’ll design and maintain robust data pipelines and BI solutions using Azure Data Factory and Power BI, helping deliver clear, actionable insights across the business.

What You’ll Do

As a BI Engineer, you’ll support the development of our Azure-based data infrastructure and help deliver clean, scalable business intelligence solutions. Your responsibilities will include:

  • Build and maintain ADF pipelines for automated data integration.
  • Develop scalable Power BI dashboards and datasets.
  • Work with APIs, SFTP, Blob Storage, and other data sources.
  • Optimise ETL/ELT workflows for reliability and performance.
  • Translate business requirements into technical solutions.
  • Support ad hoc queries and reporting in Power BI and Excel.
  • Document data flows and processes.
  • Champion data quality, governance, and system improvement.

What We’re Looking For

We’re seeking a data-driven professional with a keen eye for detail and a drive to create high-quality BI solutions. You\’ll thrive in a fast-paced, evolving environment and have the ability to work both independently and collaboratively.

  • 2+ years in BI/Data Engineering or similar role.
  • Advanced skills in SQL, Power BI (DAX, M), and ADF.
  • Strong Excel proficiency.
  • Experience with APIs, SFTP, and cloud data sources.
  • Analytical mindset, clear communicator, and self-starter.
  • Comfortable working independently and collaboratively.

In Return, We Can Offer You

Basic Salary £38,000 – £42,000 (DOE) as well as market leading benefits.

25 days Annual leave plus statutory holidays.

Just Some Of The Great Benefits We Offer

  • On-site gym
  • Free on-site parking
  • Free on-site breakfast bar
  • Complimentary on-site snacks and soft drinks
  • Discretionary performance related bonus
  • An extra day’s holiday for your birthday

Ready to build powerful BI solutions and help shape data decision-making at Trinity Claims? Apply today and be part of our transformation journey.

Application deadline: this position will remain open until we have found the right person for the job.

We kindly request that no agencies contact us regarding this position. Speculative CVs will not be accepted.

Trinity Claims is an equal opportunities employer and we positively encourage applications from suitably qualified and eligible candidates regardless of your gender, age, race, disability, ethnic background, religion or belief, sexual orientation, gender reassignment, marital status, or pregnancy and maternity.

Seniority level

  • Seniority level

    Entry level

Employment type

  • Employment type

    Full-time

Job function

  • Job function

    Business Development and Sales

  • Industries

    Insurance

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BI Engineer employer: Trinity Claims

Trinity Claims is an exceptional employer that fosters a dynamic and supportive work culture, perfect for a BI Engineer looking to make a significant impact. With competitive salaries, generous annual leave, and unique perks like an on-site gym and complimentary meals, employees are encouraged to thrive both personally and professionally. The company prioritises employee growth through hands-on experience with cutting-edge technologies, making it an ideal place for those eager to advance their careers in data-driven environments.
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Contact Detail:

Trinity Claims Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land BI Engineer

✨Tip Number 1

Familiarise yourself with Azure Data Factory and Power BI. Since these are key tools for the BI Engineer role, having hands-on experience or even completing relevant online courses can give you a significant edge during interviews.

✨Tip Number 2

Network with current or former employees of Trinity Claims on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage in your discussions.

✨Tip Number 3

Prepare to discuss specific projects where you've built data pipelines or dashboards. Being able to articulate your past experiences and the impact of your work will demonstrate your capability and fit for the role.

✨Tip Number 4

Stay updated on the latest trends in business intelligence and data engineering. Showing that you're knowledgeable about industry advancements can set you apart and highlight your commitment to continuous learning.

We think you need these skills to ace BI Engineer

Azure Data Factory
Power BI (DAX, M)
SQL
ETL/ELT workflows
Data Integration
API Management
SFTP
Blob Storage
Data Quality Assurance
Data Governance
Analytical Skills
Problem-Solving Skills
Communication Skills
Documentation Skills
Collaboration Skills
Attention to Detail

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with BI tools, especially Azure Data Factory and Power BI. Use specific examples of projects where you've built data pipelines or dashboards to demonstrate your skills.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background in BI/Data Engineering aligns with their needs, and provide examples of how you've driven data insights in previous roles.

Showcase Technical Skills: Clearly list your technical skills relevant to the job description, such as SQL, DAX, M, and experience with APIs and cloud data sources. Consider including a section in your CV dedicated to technical proficiencies.

Highlight Soft Skills: Since the role requires both independent and collaborative work, emphasise your communication skills and ability to work in a team. Provide examples of how you've successfully collaborated on projects or communicated complex data insights to non-technical stakeholders.

How to prepare for a job interview at Trinity Claims

✨Showcase Your Technical Skills

Make sure to highlight your experience with Azure Data Factory, Power BI, and SQL during the interview. Prepare specific examples of projects where you've successfully built data pipelines or dashboards, as this will demonstrate your hands-on expertise.

✨Understand the Business Context

Research Trinity Claims and understand their business model and how BI solutions can drive insights for them. Being able to discuss how your work can impact their operations will show that you're not just technically skilled but also aligned with their goals.

✨Prepare for Scenario-Based Questions

Expect questions that ask you to solve hypothetical problems related to data integration or reporting. Practise articulating your thought process clearly, as this will showcase your analytical mindset and problem-solving abilities.

✨Demonstrate Your Communication Skills

As a BI Engineer, you'll need to communicate complex data insights to non-technical stakeholders. Be prepared to explain your past experiences in a way that is easy to understand, highlighting your ability to translate technical jargon into actionable insights.

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