Analytics Engineering Manager

Location: London, United Kingdom; hybrid attendance at the London office 2–3 days a week. Working from abroad is available for up to 120 days per year, subject to having the right to work in the country of choice.

Company

hirify.global is a digital bank operating in financial services.

What you will do

• Lead, coach, develop, and performance-manage a high-performing Analytics Engineering team.
• Prioritize incoming requests, strategic initiatives, team capacity, and longer-term projects.
• Define and deliver an Analytics Engineering roadmap aligned with Product and business priorities.
• Improve the quality, reliability, and scalability of analytical data products.
• Establish practices for data modelling, testing, observability, documentation, and CI/CD.
• Collaborate with Product, Engineering, Analytics, Data Engineering, and Data Science teams to improve the data platform and deliver measurable value.

Requirements

• Experience leading Analytics Engineering, BI Engineering, or Data Engineering teams, with previous individual-contributor experience in Analytics Engineering.
• Experience building and developing high-performing engineering teams.
• Strong SQL and data-modelling expertise, including modern transformation tools such as dbt.
• Experience with cloud data platforms such as Snowflake, BigQuery, or Databricks.
• Experience defining technical roadmaps and delivering measurable business outcomes.
• Understanding of testing, observability, documentation, and CI/CD, with sufficient technical depth to identify systemic problems and contribute to solutions.

Nice to have

• Experience building semantic or metrics layers.
• Experience applying AI to Analytics Engineering workflows or developing AI-ready data products.
• Knowledge of Airflow, Dagster, or Fivetran.
• Python experience for automation or data engineering tasks.
• Experience in regulated financial services or another highly data-driven organisation.

Culture & Benefits

• Flexible ways of working with a focus on face-to-face collaboration and work-life balance.
• Option to work from abroad for up to 120 days per year, subject to local right-to-work conditions.
• AI is used as part of everyday work and AI fluency is encouraged.
• Inclusive workplace with nearly 50 nationalities and a diversity, equity, and inclusion forum.
• Reasonable adjustments are available during the hiring process.

Hiring process

• Behavioural and competency-based interviews must be completed without AI assistance.
• AI use in technical interviews depends on the role and will be explained by the Talent Partner.