SENIOR DATA ENGINEER (SQL â Essential) at SRG Financial Placements – Durban | Jobyssey

KEY RESPONSIBILITIES:

Owning the design, development, and long-term operation of ELT pipelines and curated data products across one or more domains
Setting the modelling approach across staging, intermediate, and data mart layers in Snowflake, and ensuring reusable, well-tested patterns are followed by the team
Leading the data ingestion and exposure of new data sources for major products, features, and business initiatives, from discovery through to production
Defining and evolving data quality, monitoring, and observability standards used across the team
Driving cost efficiency, query performance, and storage optimisation within Snowflake, including warehouse strategy, clustering, and access patterns
Owning schema evolution, data lineage, and documentation for your domain, and setting the expectation for how these are handled across the platform
Contributing to platform standards, tooling, and architectural direction alongside Lead Engineers and the Platform team
Leading production support for your domain, including on-call rotation, incident response, and postmortems
Mentoring Level 1 and Level 2 engineers through code review, pairing, and technical guidance, and supporting their growth
Partnering with Analytics Engineers, Data Analysts, Data Scientists, AI/ML Engineers, Platform Engineers, and Software Engineers to shape and deliver end-to-end data solutions
Championing automation and AI-assisted development techniques to improve pipeline quality, documentation, and delivery speed
Continuously evaluating modern data and AI-driven approaches, and influencing those that are invested in

TECHNICAL REQUIREMENTS:

59 years experience in data engineering, with a track record of owning production systems end-to-end
Deep SQL and strong Python experience, with the ability to design as well as build data pipelines
Substantial hands-on experience with Snowflake, including query profiling, warehouse strategy, RBAC, cost management, clustering, and performance tuning
Advanced dbt experience, including custom macros, packages, incremental strategies, testing frameworks, and multi-project or mesh patterns
Solid experience with cloud platforms, particularly AWS (and / or Azure), including core services such as S3, Lambda, IAM, and networking fundamentals
Fluency within a mature SDLC, including Infrastructure as Code (Terraform), CI/CD pipelines, and Git-based collaboration
Experience with data orchestration tools (Openflow or similar) at a design and standards-setting level
Demonstrated experience designing and operating data quality, observability, and monitoring frameworks in production
Track record of mentoring engineers and raising the technical standard of a team
Ability to lead technical discussions with engineering, analytics, and business stakeholders and translate ambiguity into a plan
Experience leading a migration or modernisation initiative from a legacy platform onto a modern cloud data stack
Experience designing platform-level patterns (data contracts, shared macros/packages, reference architectures)
Familiarity with analytics, experimentation, or AI/ML data workloads operating at scale
Exposure to regulated data domains (iGaming, financial services, healthcare) and their compliance requirements
Contributions to open-source tooling, technical writing, conference talks, or internal engineering communities

Correspondence will only be conducted with short listed candidates.
Should you not hear from us within 14 days then please consider your application as unsuccessful.

SENIOR DATA ENGINEER (SQL â Essential)

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