As a Senior Data Engineer, you will be working as part of a multidisciplinary team to build solutions that make data accessible to enable solutions to be optimised by using an evidence-based approach. Engaging with our clients you will design and implement data solutions ensuring solutions are integrated with internal systems and business processes.

• Your role in a nutshell:Act as an SME within the Hippo squad to lead, design and implement data solutions that meet business requirements.
• Help architects realise data system design such as Meshes, Warehouses and Event based systems
• Implement data flows to connect operational systems, data for analytics and business intelligence (BI) systems
• Re-engineer, develop and optimise code to ensure processes perform optimally
• Build great relationships with your team and stakeholders
• Work with the Hippo community to share best practice to ensure high standards
• Involved in the recruitment and on-boarding of other engineers, and support other consultants in their professional development
• Promote Hippo’s Engineering Herd internally and externally (for example through writing Blogs, Workshops, Seminars or Conferences)

About the Candidate:

• Proven track record in Snowflake, Python, dbt, AWS and Terraform
• Proficiency in R, Bash, Java/.NET and/or PowerShell desirable
• Broad knowledge across cloud architectures, networking and distributed computing systems
• Experience of data system design such as Data Lakes, Data Meshes and Data Warehouses.
• Experience of a wide range of data sources, SQL, NoSQL and Graph.
• A proven track record of infrastructure delivery on any data platform (Snowflake, Elastic, Redshift, Data Bricks, Splunk, etc).
• Strong and demonstrable experience writing regular expressions and/or JSON parsing, etc.
• Strong experience in log processing (Cribl, Splunk, Elastic, Apache NiFi etc.)
• Expertise in the production of dashboard/insight delivery
• Be able to demonstrate a reasonable level of security awareness (An understanding of basic security best practices, OAuth, MFA, TLS, etc.)
• Experience in the processing of large datasets
• A firm understanding of data modelling and normalisation concepts
• Good estimation skills for times, latencies and costs.
• Experience working within multidisciplinary teams desirable
• Teamwork and presentation skills, experience of mentor led working practices