Data Engineering Team Lead

Job Description

Collaboration :

• Work closely with a cross-functional agile team to deliver high-quality data solutions.
• Work closely with data analysts, data scientists, and other stakeholders to understand business requirements and translate them into technical solutions.

Team leadership

• Mentor and guide a team of data engineers and analytic engineers (local and offshore), fostering a culture of innovation, collaboration, and engineering excellence.

Data Engineering

• Data pipeline development, maintenance, and engineering support with modern data stack in a rapid, agile development practices.
• Cloud data warehouse – development, testing, and production deployments; Python, Databricks, Snowflake SQL and administration (mandatory), dbt (mandatory), Airflow (mandatory), Kafka (desirable), Segment (desirable), Terraform (desirable), AWS fundamentals (mandatory), Buildkite (or equivalent CI/CD platform).
• Lead the development and management of Power BI semantic models, ensuring strong governance, repeatability, and scalability.
• Provide standards, guidelines, and collaborate in the design of logical data modeling and the implementation of physical data models into the platform to ensure consistency, interoperability, maintainability, and efficiency.

Platform ownership and optimization :

• Management of data platform budget, ensuring optimization of costs and vendor management.
• Optimize data pipelines, build pipelines & BI solutions for performance and scalability.
• Implement data engineering best practices, including design, testing, documentation, and maintenance.
• Manage data platform access processes, security controls, role & attribute access controls, and data security controls in collaboration with Cyber and Platform infrastructure teams to ensure platform security by design.
• Management and provisioning of AI and BI services on the data platform.

Data Governance :

• Ensure compliance with data governance policies and procedures.
• Monitor data quality and address issues related to data completeness and accuracy.

Collaboration :

• Provide input to solution design & technical support of pipelines.

Documentation :

• Maintain comprehensive documentation of data engineering solutions, data models, and processes.
• Contribute to design guides and training materials as needed.

Issue and Incident Resolution :

• Provide support for issue and incident resolution.

Qualifications

• Minimum of 8 years of data engineering experience with modern development practices.
• Proficiency in SQL with a cloud data warehouse (Snowflake, AWS RDS, Databricks) and experience with ETL tools and processes.
• Experience with programming languages such as Python.
• Strong understanding of data warehousing concepts and data modeling techniques.
• Knowledge of data governance and data quality best practices.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
• Ability to work independently and manage multiple priorities in a fast-paced environment.

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: up to 26 weeks leave for primary carers and up to 4 weeks for secondary carers.
• An additional week's 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 like 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. These values are part of our core DNA that helps the company 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 responding to every applicant. Once we have received your application, we will reach out via email.

Feeling like you don't meet all the skills listed? That's okay; we are always on the lookout for different skills, experience, and qualities, and we'd still like to hear from you.

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