PC
Head of Data Engineering
PHMG Careers
Contract type
Ongoing
Work mode
On-site · On-site (see listing for address)
Experience
Lead / principal · Not stated
Level inferred from job title
Job description
Key details
- Lead, manage and develop the Data Engineering team, building capability, resilience and strong ways of working
- Own PHMG's core data platform, architecture, data warehouse and associated pipelines, ensuring solutions are scalable, reliable, maintainable and cost-effective
- Own Data Engineering delivery, ensuring work is appropriately designed, prioritised and delivered to agreed standards
- Establish and embed strong engineering practices across source control, CI/CD, testing, code review, documentation, monitoring and error handling
- Work closely with the wider Data team to translate the Data Strategy and business priorities into an effective engineering roadmap and delivery plan
- Work closely with IT, Infrastructure and other engineering teams on architecture, integrations, migrations and platform decisions
- Identify and evaluate opportunities to improve the performance, reliability and efficiency of PHMG's data capability, including the use of emerging technologies
- Company mission
- To evolve how PHMG uses technology and data to deliver value to the business, building an open, collaborative culture where people communicate honestly, support each other and take pride in delivering good work
Primary stack
Core technologies
Python (Programming Language)SQLTerraformSalesforce
Benefits
- Information not specified
Requirements & details
- Demonstrable experience leading, developing and managing Data Engineering teams
- A strong track record of designing and delivering enterprise-scale data platforms, solutions and architectures
- A thorough understanding of modern ETL/ELT practices and experience designing scalable, reliable and maintainable data pipelines
- Advanced working knowledge of SQL and Python
- Experience working with modern cloud data platforms such as Microsoft Fabric, Snowflake, Databricks, Redshift or BigQuery; experience within the Microsoft data ecosystem would be advantageous
- Strong understanding of modern engineering practices including source control, CI/CD, automated testing, code review, monitoring and observability
- Strong experience of data modelling for reporting and analytics, using tools and approaches such as dbt or equivalent
- Strong understanding of data quality, governance, security and data management best practices
- Experience managing engineering delivery using agile ways of working
- Strong communication and stakeholder management skills, with the ability to explain technical decisions, risks and trade-offs to both technical and non-technical audiences
- experience integrating data with operational systems, including reverse ETL into platforms such as Salesforce
- understanding of the Data Science / Machine Learning lifecycle and MLOps
- experience using Infrastructure as Code approaches and tools such as Terraform or CloudFormation
- Python, SQL, Microsoft Fabric, Snowflake, Databricks, Redshift, BigQuery, dbt, Terraform, CloudFormation, Salesforce
- Python (Programming Language)
- SQL
- Terraform
- Salesforce