Data Engineer
Thomas International, United Kingdom
Job Description
About Thomas
At Thomas, we envision a world of limitless human potential achieved through deep self-awareness and strong connections among individuals. With over 40 years of experience, we have been at the forefront of providing talent assessment platforms that assist businesses worldwide in recruiting, retaining, and developing exceptional talent.
But now, it's time for a change...
The future of work is undergoing a remarkable transformation, and Thomas is determined to break free from its origins as a "traditional" assessment provider. We are embarking on an exciting and bold journey to redefine how people interact in the workplace, setting new standards for the industry.
Thomas has introduced a new work superpower: Team Interaction Optimisation (TIO). We equip individuals with actionable insights about themselves and each other. TIO empowers every one of us to become a better colleague, teammate, or leader.
Job Purpose
We are seeking an Analytical, Innovative, and Process Orientated, Data Engineer to join our Data Science team. Reporting to the Director of Data Science, you will be focused on combining data science amp; engineering, psychology, and analytics with an experimental mindset to deliver a best-in-class experience for our business. The Data Engineer will be a role that is a key voice in how we ensure that our data is accurate, accessible, and actionable to provide powerful insights and products across the business. We are looking for a motivated, curious, and passionate engineer to work on building our data platform and its pipelines to support the entire Thomas ecosystem.
Our ideal candidate is someone that is passionate about the role data plays in building great products and customer experiences, who loves to explore data in innovative ways to find solutions to complex questions and queries, providing novel and experimental solutions for getting greater value to the hands of our customers as quickly as possible.
We are looking for a Data Engineer who is excited by:
- Building for tomorrow, not solving for today: We have done some nice thinking here but we want someone to help us build a best-in-class solution that we can shout from the rooftops about. We are looking for someone that can help us build data engineering processes that are scalable and that make it ridiculously easy for our data end users to get accessible and actionable insights.
- Getting hands-on with building the pipelines: someone with experience in working with modern distributed computing systems as well as programming languages Python or SQL (or both!) to build resilient, reliable data pipelines in a productionised environment.
- Translating the complex to the accessible: someone that is comfortable with taking the initiative in working with abstract and complex problems and turning them into clear and actionable solutions. Additionally, someone that is able to communicate technical issues and implementations to technical and non-technical audiences throughout the business.
- Empowering and enabling for impact: We want Thomas to be a world-leading data-driven organisation and are looking for someone that will help continue our journey to get there. A big part of this role will be working with Data Science and business units throughout Thomas to understand what questions we need to answer and how we deliver next-generation data and solutions that answer them.
If you are interested in solving problems, using experiments to redefine the status quo, and using data to answer complex questions, then the Data Science team at Thomas could be a great fit for you.
Requirements
Great-to-have experience:
- Strong background in tools and techniques around data querying, data ware-houseing, data orchestration and transformation, and visualisation;
- Proven track record of delivering cloud-native data warehousing solutions for businesses;
- Building robust and scalable pipelines to ingest data from a wide range of cloud-based assets (e.g. Salesforce, Netsuite, Chargebee);
- Experience of Master Data Management and data architecture principles;
- Strong experience in at least one query or programming language (e.g. SQL or Python).
Nice-to-have experience:
- Experience working with data technologies and systems like Databricks, Delta Lake, Event Hubs (Azure);
- Experience working with data visualisation technologies like ThoughtSpot;
- Comfortable in working across multiple languages e.g. leveraging SQL and Python to deliver the right solutions for the right problem.
Thomas Perform Our Talent Assessment Tool
Thomas has revolutionised the way job success is identified. We know, there are limitations in relying solely on CVs, applications, an