Lead Analytics Engineer driving digital analytics for CX in a high - tech environment. Focus on MarTech, data pipelines, and event tracking across multiple platforms.
About the role
- Senior Analytics Engineer developing scalable data products for finance at Zopa. Evolving technical direction and mentoring engineers in high-impact modeling initiatives.
Responsibilities
- Evolve the technical direction for Analytics Engineering in partnership with the Head of AE
- Develop scalable modelling patterns aligned to our data mesh and domain-based ownership approach
- Raise engineering standards across testing, CI/CD, documentation, version control and code review
- Lead by example in applying data governance and risk standards across all data products
- Design and build robust, production-grade, cost-efficient dbt models for high-impact domains
- Own modelling strategy for key business areas, ensuring consistency, maintainability, and scalability
- Optimise data marts for performance, reliability and long-term growth
- Break down complex domain problems into scalable data products
- Evaluate trade-offs between cost, performance, maintainability and delivery speed
- Take end-to-end ownership of high-impact modelling initiatives
- Partner with product teams and domain owners to translate business needs into clean, well-documented data models
- Ensure cross-domain consistency and reusability of shared entities
- Advocate for domain ownership and clear data contracts
- Simplify overly complex modelling areas and reduce unnecessary warehouse costs
- Mentor Analytics Engineers and Analysts, helping them deepen their modelling and engineering expertise
- Provide high-quality, empathetic and actionable code reviews
- Share knowledge at scale through documentation, technical sessions or playbooks
Requirements
- Significant experience as a Senior or Lead Analytics Engineer
- Demonstrable experience setting technical standards or shaping modelling practices
- Strong expertise in SQL and building production-grade, cost-efficient dbt models
- Experience working in modern cloud data environments
- Strong understanding of data governance and risk considerations
- Experience working cross-functionally in product-led environments
- Solid understanding of CI/CD, Git-based workflows, and version-controlled deployments
Benefits
- Flexible ways of working
- Option of working from abroad for up to 120 days a year
- Workplace free from discrimination
- Commitment to diversity and inclusion
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
Senior Analytics Engineer transforming raw data into organized datasets and maintaining analytical data models at Keyrus. Collaborating with business teams to ensure data quality and governance.
Senior Analytics Engineer leading the development of data models and analytics infrastructure at LineLeap. Working closely with stakeholders to enhance reporting capabilities and improve data - driven decision - making.
Analytics Engineer collaborating across Finance and Operations teams to optimize revenue analytics for Avetta’s SaaS platform. Driving insights to enhance operational efficiency and reporting accuracy.
Data Solutions Engineer designing and implementing scalable data solutions for News UK. Collaborating with teams to enhance data architecture and deliver tailored data products.
Analytics Engineer responsible for managing our data platform in the Data & Analytics team. Collaborating across the full data lifecycle from ingestion to self - serve analytics.
Senior Data Engineer responsible for development, configuration, and maintenance of ETL solutions at Coca - Cola. Act as a technical leader and mentor while improving business processes and ensuring code quality.
Analytics Engineer developing data pipelines and collaborating across teams for Star Stable Entertainment. Prioritizing performance and integrity in data management.
Senior Analytics Engineer building data pipelines and models for analytics at AI - first hiring platform in Stockholm. Collaborating closely with cross - functional teams for data - driven decisions.
SAP BRIM - Data Analytics Engineer designing, developing, and maintaining data pipelines and analytics models for SAP Billing and Revenue Management. Collaborating with teams to provide secure analytics solutions.