Data Engineer creating scalable, reliable data solutions for Retail Insight's clients and enhancing the data ecosystem. Collaborating with software engineers to ensure data quality and accessibility.
Responsibilities
You'll help shape and strengthen our data ecosystem for our existing, and brand new clients - working hands‑on across pipelines, orchestration, databases, and cloud technologies.
Design, build, and maintain scalable data pipelines across ingestion, transformation, orchestration, monitoring, and quality assurance.
Develop and optimise data solutions, including database schemas and SQL performance tuning to ensure reliable, accessible data for analytics and downstream systems.
Integrate data solutions into production environments, collaborating with software engineers and supporting delivery for new and existing clients.
Write clean, maintainable code and documentation, covering SQL, Python, PowerShell, models, pipelines, and platform architecture.
Support production operations, providing 3rd‑line incident investigation/resolution and contributing to code reviews and engineering best practices.
Requirements
Proven experience in data or analytics engineering, with strong foundations in data warehousing, ETL/ELT, and large‑scale analytics environments.
Hands‑on expertise with SQL‑based databases (MS SQL Server, Azure SQL, Postgres) and cloud platforms such as Azure and Snowflake.
Strong SQL skills plus working knowledge of Python, PowerShell, and integrating data via APIs.
Familiarity with agile delivery, GitHub, Atlassian tooling, and production troubleshooting/incident resolution.
Bonus: Experience with Databricks.
Benefits
Competitive Compensation: We're offering the right candidate between $85,000 - $110,000 per annum.
Hybrid & Flexible Working: Work from anywhere benefits, plus summer hours and extra days off for life’s big moments (including your birthday and wedding).
Generous Time Off: 26 days PTO (increasing with service), paid volunteer days, and full support for your wellbeing, including mental health resources.
Career & Learning: Access to a top-tier learning platform, career progression plans, and support to create your ideal home workspace.
Health & Financial Benefits: Comprehensive medical, dental, and vision coverage, plus a 6% matched retirement plan.
Personal Perks: Annual phone reimbursement, onsite gym access, and customizable benefits via our online platform. Plus much more!
Senior Data Engineer designing and optimizing data platforms for clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. Working closely with clients to deliver scalable solutions.
Data Engineer providing technical expertise on mission - critical NAVSUP OIS program. Work involves data architecture and database management in AWS GovCloud environments.
Senior Data Engineer focusing on data infrastructure for an AI - driven insurtech startup based in Nepal. Collaborating with teams to optimize data models and maintain data quality.
Senior Professional Consultant leading architecture and design for SAP BW and SAC solutions at Freudenberg. Collaborating with stakeholders and optimizing performance of data landscapes.
Senior Data Engineer designing and managing data architectures to transform large - scale data into insights for Humana. Involves leading technical discussions and implementing best data practices.
Data Engineer II at Early Warning Services developing data science tools and infrastructure. Collaborating on software enhancements and mentoring interns in a hybrid work environment.
Senior Data Architect responsible for optimizing data architecture and supporting data - driven business decisions at TruStage. Leading technical guidance for data architecture and cross - functional team collaboration.
Senior Data Architect developing data architecture plans at The Hartford, collaborating with internal teams to align data standards and practices. Leading complex solutions with a focus on operational effectiveness.
Senior Solution Architect defining architecture framework for SA‑CCR in regulatory risk. Collaborating with stakeholders to ensure compliance and efficient data governance.