Job Description:
About the role:
We are looking for a Data Engineer to help us build powerful data infrastructure and advanced analytics to support Codat’s decision making as we enter our next phase of growth. There is an immense amount of opportunity to plan and build pipeline architecture, own data sources, and execute business-critical analysis. As the pipeline matures, there is also significant opportunity to expand the role’s responsibilities from Data Engineering to Data Science depending on the candidate.
Key responsibilities:
- Be a critical member of a tight-knit and high-performing Data and Analytics team
Plan, build and maintain Codat’s internal data infrastructure, specifically:
- Be responsible for the ingestion of raw data sources
- Be responsible for the enrichment and standardisation of raw data across multiple sources
- Be responsible for setting a data pipeline roadmap
- Develop Codat’s data strategy, shaping the way the organisation consumes data
Prioritise the most critical needs of the business and deliver data and analytics to support those areas
- Act as a spokesperson for the Data and Analytics Team internally, while building wider understanding and appreciation of data resources within Codat
- Provide technical expertise and training on analytical best practices to the data and wider business teams
- Lead efforts to migrate decision-making away from ad-hoc processes to being fully-underpinned by intelligent data-driven models
Our values:
No matter what we’re doing - whether we’re speaking to customers, partners or to each other - we live by our values.
We believe in delivering useful technology that solves real problems for real businesses. We have a real want to do the stuff that isn't always “cool” but makes a difference.
We believe that the people in the best teams push and enable each other to excel. We’re united when we have each other’s backs - when something goes wrong, we don’t blame, we work together to fix it. We embrace differences of opinion to end up with better outcomes. We don’t let our egos win.
We believe that an unstoppable drive towards a single, clearly stated goal is the best way to build great things. We are biased towards action - we make informed decisions and then we act. There is no such thing as an impossible problem, just a great challenge to sink our teeth into.
What excites us:
- Demonstrably strong technical skills, with a focus on Python and SQL
- Experience working in a data engineering environment at a start-up or scale-up
- Familiarity with key engineering concepts such as data warehousing and ETL/ELT processes
- Professional drive and intellectual curiosity
- Excellent communication skills and EQ
- Experience with delivering projects against tight deadlines while maintaining a balance between programmatic rigor, speed of execution, and long-term planning
- Experience in owning data pipelines and living the life of a business-critical data engineer
- Data Science or quantitative skills learned either through an academic qualification or professional experience
- Drive, enthusiasm, intellectual curiosity, willingness to learn
- Software familiarity with: Salesforce, Microsoft Azure, Node, Fivetran, Pyspark / Databricks, dbt, Looker, Snowflake
Company Benefits
- Share Options scheme, empowering everyone to share in our success
- 25 days holiday (plus Bank Holidays)
- 'In person optional policy'- working in the office is entirely your choice
- Team lunches, Company Socials, office snacks and roof top barbecues
- Professionally led Yoga classes, office football team and Cycle to Work Scheme
- Work alongside some of the UK's best Software Engineering talent
- Cutting-edge and always evolving tech stack
- Fun, fast paced, directly see your impact and full autonomy
- Personal development and professional growth focused culture
- Modern, airy and dog-friendly offices with private roof terrace
Interview Process
- Talent Phone Screen
- First Interview
- Take home task
- Final Interview
