TRIA | Data Engineering manager

TRIA
London
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineering Manager

Snowflake | AWS/Azure | Data transformation

Up to £110,000 + 20% Bonus + 10% Pension

Milton Keynes – Two/Three days a month on site.


This Senior Data Engineering opportunity is to join a rapidly growing financial services organisation, who are going through a large Data Transformation. Your role will report into the CDO and you will play a pivotal role in transforming data for the business.


You’ll help lead a greenfield project to design, build, and implement a robust Snowflake data warehouse from the ground up. As both a hands-on and strategic leader, you’ll guide the data engineering team in architecting scalable solutions while driving best practices in data engineering, cloud migration, and data quality. Alongside hands-on engineering work, you will mentor a small team, contributing to their technical and professional development, while also helping shape the future of the data engineering practice and the organization’s broader data strategy.


For this role you will:

  • Lead the end-to-end migration of on-premises data systems to Snowflake, ensuring efficient and secure data transformation.
  • Help develop and implement a comprehensive Data Engineering strategy that aligns with business objectives and enhances data accessibility, quality, and governance.
  • Serve as a technical lead in both architecture and development, providing guidance on best practices in Snowflake schema design, data pipeline development, and integration.
  • Have advanced skills in SQL and Python, with the ability to build and optimize complex data pipelines and manage large datasets.
  • Domain Experience – Insurance/financial services. However, we will consider applications outside of these industries


You will receive:

  • Salary up to £110,000
  • Extremely competitive benefits package that includes up to 20% bonus, private medical, 10% pension
  • Hybrid working – 2/3 days in the office a month.


If you are interested and would like to find out more, please apply!

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Careers

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Careers

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Careers

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.