Data Engineer, Croud

• Proactive and self-motivated individual, keen to take initiative
• Excellent Python, SQL, and database design skills, with proficiency in dbt/Dataform or similar SQL development frameworks
• Proficient with cloud-based modern data warehousing technologies, particularly GCP and related technologies, especially BigQuery (we are also open to considering candidates with strong comparable experience on other leading cloud platforms)
• Strong understanding of best practices and trends in data, software engineering and AI, including unit testing and producing clean, maintainable code
• An ability to communicate clearly and effectively on technical topics with varied types of technical and non-technical stakeholders
• Hands-on experience with the development and maintenance of production data pipelines, especially using serverless technologies
• Productionising software applications, experience with Docker
• Infrastructure automation, preferably with Terraform, CI/CD pipelines

Desirable

• The role sits within the Data Engineering team and reports to the Head of Data Engineering
• The team’s remit is to drive innovation & revenue through the development & delivery of revenue-generating/client-facing data engineering solutions used across the agency
• The Data Engineer will be part of a growing team that delivers highly impactful data solutions across our extensive client portfolio and also the agency’s own product offerings
• We seek individuals who are proactive, self-starters with a meticulous eye for detail, and who can communicate clearly and effectively across our diverse internal and external stakeholders
• Ownership of project implementation to successfully deliver client solutions and services in collaboration the other team members
• Solutionizing client deliverables
• Being a key contributor in the implementation and maintenance of DataOps and governance policies, processes, and standards
• Championing data, software engineering and data security best practices and helping and mentoring the team to implement and uphold those practices
• Hands-on involvement in data integrations, warehousing, automation and related engineering tasks
• Research and Development on the possible technologies and help the team and clients adopt those where appropriate
• Highlight risks and produce effective mitigation plans to address them