Gas South
SeniorDataEngineer
“Senior Data Engineer at Gas South. Skills: data pipelines, curated datasets, analytical data models, Microsoft Azure, SQL. designing, building, testing, and supporting data pipelines, curated datasets, and analytical data models. enabling enterprise reporting, self-service analytics, and broader data modernization efforts”
What You'll Achieve.
enable enterprise reporting, self-service analytics, and broader data modernization efforts; ensure the business has reliable, well-structured, and trusted data to support reporting, analysis, and decision-making; deliver solutions that are secure, scalable, and aligned to business priorities; improve the accuracy, timeliness, and reliability of enterprise data; reduce manual effort and improve delivery efficiency
Industry & Context.
analytical, troubleshooting, and problem-solving skills
Ability to sit for extended periods at a desk or workstation while performing computer-based tasks, conducting meetings, and collaborating with colleagues., Ability to stand and walk within the office environment, such as when attending meetings, interacting with colleagues or external stakeholders, or visiting different departments., Ability to lift and carry material, files, or equipment weighing up to 20 pounds, such as when organizing documents or setting up for meetings.
What They're Looking For.
Must Have
Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field, or equivalent practical experience, 5+ years of experience in data engineering, analytics engineering, or enterprise data platform development, Experience designing, building, and supporting scalable data pipelines and analytical data models, understanding of data modeling approaches, ETL and ELT patterns, and data storage design for analytics use cases, Experience working with structured and semi-structured data, Hands-on experience with Microsoft Azure cloud data services and modern data platform concepts, SQL skills and experience supporting enterprise reporting, analytics, or business intelligence solutions, Understanding of data security, governance, and controlled access patterns, and the ability to apply those concepts in solution design
Nice to Have
Experience with modern Microsoft data platforms, including Microsoft Fabric and related reporting and integration capabilities, Experience building or supporting semantic models, curated datasets, or reporting layers for tools such as Power BI, Familiarity with layered or medallion-style data architectures and common analytical modeling patterns, Experience contributing to data governance practices, including access controls, data product standards, and self-service guardrails, Exposure to DataOps or DevOps practices for data platforms, including CI/CD, monitoring, and release management, Experience working in Agile software development environments, Experience using Python for data engineering, notebook-based development, orchestration, or automation, Exposure to Kusto Query Language (KQL) for querying telemetry or event-based datasets
What You'll Do.
and supporting data pipelines
and analytical data models
enabling enterprise reporting
self-service analytics
and broader data modernization efforts
ensuring the business has reliable
technical ownership of assigned data domains
shaping design decisions related to ingestion
implementing secure and governed data access patterns
partnering with security
and architecture teams
identifying opportunities to improve the scalability
and overall effectiveness of the data platform
and semantic models that support business intelligence and reporting tools
implementing data profiling
and issue resolution practices
participating in operational support for critical data pipelines
supporting DataOps practices
identifying and addressing technical debt
How You'll Work.
Team & Collaboration
works closely with business stakeholders, analysts, and other IT teams; partner with business stakeholders, analysts, and technical teams; work collaboratively with data engineers, analysts, architects, and business stakeholders; participate in design reviews and code reviews; provide guidance to junior engineers through day-to-day collaboration and mentorship
Communication Scope
understand data needs; translate requirements into practical data and reporting solutions; clearly defined data products; trusted by users; aligned to business needs; guidance to junior engineers
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