# Analytics Engineering Manager

**Company**: Zopa
**Location**: London
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: Employee - Permanent
**Category**: Engineering
**Industry**: Finance

**Apply**: https://jobs.lever.co/zopa/3800365d-8493-47f1-96dc-80ac103663d7?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_dd84584e-8bc

## Description

## Job Description

We're looking for an Analytics Engineering Manager to lead and develop a high-performing team. As part of our Data Engineering & Services team, you will work closely with Analytics and Data Engineering to build stronger partnerships across Product and Engineering.

## Responsibilities

- Lead, coach and develop a high-performing Analytics Engineering team

- Provide regular feedback, development support and effective performance management

- Own prioritisation across incoming requests, strategic initiatives, team capacity and longer-term projects

- Establish and deliver an Analytics Engineering roadmap aligned with Product and business priorities

- Improve the quality, reliability and scalability of analytical data products

- Embed strong practices across data modelling, testing, observability, documentation and CI/CD

- Work across Product, Engineering, Analytics and business teams to ensure Analytics Engineering delivers measurable value

- Partner with Data Engineering, Data Science and Analytics to contribute to a cohesive data platform

- Represent Analytics Engineering in wider engineering discussions and champion better data practices

- Drive continuous improvement, knowledge sharing and adoption of emerging technologies, including AI-assisted development

## Requirements

- Experience leading Analytics Engineering, BI Engineering or Data Engineering teams

- Previous individual-contributor experience in Analytics Engineering

- Track record of building and developing high-performing engineering teams

- Strong SQL and data-modelling expertise and experience with modern transformation tools such as dbt

- Experience working with cloud data platforms such as Snowflake, BigQuery or Databricks

- Defined technical roadmaps and delivered measurable business outcomes

- Ability to build trust and influence both technical and business stakeholders

- Understanding of modern engineering practices including testing, observability, documentation and CI/CD

- Sufficient technical depth to identify systemic problems and contribute credibly to solutions alongside senior technical colleagues

- Ability to provide effective leadership to a highly autonomous team without micromanaging

## Nice to Have

- Experience building semantic or metrics layers

- Experience applying AI to Analytics Engineering workflows or developing AI-ready data products

- Knowledge of orchestration and ingestion tools such as Airflow, Dagster or Fivetran

- Python experience for automation or data engineering tasks

- Experience working in regulated financial services or another highly data-driven organisation

- Snowflake experience, given its introduction at Zopa

## Benefits

- Flexible working arrangements, including the option to work from abroad for up to 120 days a year

- Opportunity to work with a talented team and contribute to the company's mission

- Collaborative and dynamic work environment

## Skills

### Required
- SQL
- data-modelling
- dbt
- Snowflake
- BigQuery
- Databricks
- Python
- Airflow
- Dagster
- Fivetran

### Nice to have
- semantic layers
- AI-assisted development
- AI-ready data products
- orchestration tools
- ingestion tools
- regulated financial services

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Source: [Apply at jobs.lever.co](https://jobs.lever.co/zopa/3800365d-8493-47f1-96dc-80ac103663d7?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)