Senior Data Engineer

This range is provided by DiverseJobsMatter. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

Direct message the job poster from DiverseJobsMatter

Director Of Operations / Talent Resourcing at DiverseJobsMatter

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.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Design Services, IT System Design Services, and Data Infrastructure and Analytics

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