Engineering Lead Data

Collaboration

• Work within a cross-functional agile team to design build and deliver high-quality data solutions that support business and product outcomes.

• Partner with data analysts data scientists product and engineering teams to translate business requirements into scalable technical solutions.

• Collaborate with platform infrastructure and AI teams to ensure the data platform supports the groups AI-native strategy.

Team Leadership

• Lead and mentor a team of around five data and analytics engineers ensuring strong delivery standards code quality and best practice adoption.

• Drive a culture of ownership accountability and continuous improvement within the data engineering function.

• Provide hands-on guidance and technical leadership while maintaining high delivery velocity.

Data Engineering Delivery

• Own end-to-end data pipeline development and maintenance using the modern data stack (Python dbt Airflow Snowflake Databricks AWS).

• Lead development testing and deployment for cloud data warehouse and lakehouse environments.

• Design and implement logical and physical data models that ensure performance scalability and maintainability.

• Oversee Power BI semantic models ensuring governance consistency and reusability across business reporting layers.

• Implement CI/CD automation and infrastructure-as-code practices (Terraform Buildkite or equivalent).

Platform Ownership & Optimisation

• Manage the data platform budget including vendor management cost optimisation and resource utilisation.

• Drive platform reliability scalability and performance improvements.

• Ensure data platform security through robust access management collaboration with Cyber and Platform teams and secure-by-design practices.

• Oversee provisioning of AI and BI services across the platform supporting the companys AI transformation goals.

Data Governance & Quality

• Ensure compliance with data governance privacy and security frameworks.

• Monitor and resolve data quality issues ensuring completeness accuracy and integrity across data products.

• Champion documentation lineage tracking and transparency across all data assets.

Issue Management & Documentation

• Maintain detailed documentation for data pipelines models and solutions.

• Support issue and incident management driving root-cause analysis and preventive improvements.

• Contribute to internal design standards training material and onboarding resources.

Qualifications :

• 8 years experience in data engineering with a proven track record delivering modern scalable data platforms in cloud environments.

• Hands-on leader with experience managing and mentoring a team of 35 data engineers setting engineering standards and driving delivery excellence.

• Deep technical expertise in SQL and modern cloud data warehouses (Snowflake Databricks AWS RDS) including end-to-end ETL/ELT pipeline development.

• Proficient in Python and familiar with dbt Airflow or similar orchestration and transformation tools.

• Strong understanding of data modelling dimensional design and data warehousing principles.

• Knowledge of data governance observability and data quality frameworks with practical experience embedding these into engineering workflows.

• Demonstrated ability to work in fast-paced product-led environments balancing hands-on delivery with strategic platform thinking.

• Excellent communication stakeholder management and cross-functional collaboration skills able to influence engineers product teams and senior leaders.

• Strong problem-solving and ownership mindset with a bias for action and continuous improvement.

Success in this Role Looks Like

• Stable and reliable data platform: Pipelines and workflows are automated monitored and performing reliably; incident rates are reduced.

• Engineering uplift: Team operates with clear standards CI/CD discipline and strong code ownership.

• Modern stack adoption: dbt Airflow Snowflake and Databricks are embedded into engineering workflows with proper testing and observability.

• Governance in practice: Data quality lineage and access controls embedded in day-to-day delivery.

• Cross-functional trust: Data engineering team is recognised as a trusted partner to product analytics and AI teams.

• Optimised platform spend: Cost governance models in place and driving measurable savings.

• AI enablement: Platform is ready to support Lendi Groups AI-native roadmap through reliable data and automation foundations.

Additional Information :

• Enjoy the flexibility of remote working arrangements. We offer a highly flexible hybrid structure to suit your individual needs
• We offer extended Paid Parental Leave: we celebrate our growing Lendi Group family with up to 26 weeks leave for primary carers and up to 4 weeks for secondary carers.
• An additional weeks Loyalty Leave each year after reaching 3 years service.

We are a people-first company that invests in initiatives to promote a healthy work environment such as offering an Employee Assistance Program and social groups such as our industry-leading Women in Technology group.

Our culture is guided by our 3 core values: We Are Stronger United; Act Like You Own It; and Keep Home Loans Human. Our values are part of our core DNA that helps Lendi Group to attract engage and evolve the right talent and build best-in-class products.

Lendi Group is a 2024 Circle Back Initiative Employer; we value a positive candidate experience and commit to respond to every applicant. Once we have received your application we will reach out to you via email.

Feeling like you dont meet all the skills listed Thats ok; we are always on the lookout for different skills experience and qualities and so wed still like to hear from you.

#Lendigroup #LI-GR2 #LI-Hybrid

Remote Work :

No

Employment Type :

Full-time