Senior MS SQL Engineer

Senior MS SQL Engineer

Level: Senior

Vacancy: 1

Location: Remote (Global)

Reports to: Head of Engineering

Type: Full-time

What You'll Own

• Attribution engine evolution — lead the technical side of rebuilding the attribution algorithm and related logic while keeping client-facing flexibility (schema, batch logic, performance, safe rollout).
• SQL Server as a product — own T-SQL, schema, and indexing for analytical and transactional workloads; read query plans, find regressions, and tune with measurable before/after.
• Performance and safe change — lead performance tuning (indexes, statistics, partitioning where it fits), capacity thinking, and careful rollout of DB changes in live systems using SQL Profiler, actual execution plans (including dynamic SQL), and columnstore where applicable.
• ETL and data paths — improve ETL and data pipelines feeding downstream analytics (including data consumed by AI-driven reporting and agent workflows) without turning into an “AI product engineer” job title.
• Collaboration with engineering — partner on data model and service boundaries: migrations, backward compatibility, clear contracts between app and database.
• C# at mid level — ship and review C# in ASP.NET Core (or similar) with async paths, data access through ORM, tests; role sits between API and database. Deep staff-level C# architecture not primary expectation.
• Quality and operations — participate in code reviews, incident analysis, and technical discussions; use Git and CI/CD; AI-assisted coding is part of the workflow with premium services, used to improve quality and speed where appropriate.

You're the Right Person If

Requirements:

• Minimum of five years of hands-on experience in MS SQL.
• Minimum of two years of hands-on experience in C# development.
• Solid knowledge and application of SQL Profiler, reading dynamic query plans, and columnstore.
• Experience and interest in AI-assisted coding (we actively use AI tools and premium services).
• Experience working with any ORM in C#.
• Proficiency in using version control systems, particularly Git.

It'd Be a Plus If

• Advanced experience with MS SQL performance tuning, NoSQL databases, or building dbt pipelines.
• Familiarity with marketing attribution concepts — helpful context; algorithm and SQL skills come first.
• Experience with distributed / clustered SQL Server, Always On, HA patterns, or scale-out / operations beyond a single instance.
• Extended Events, RabbitMQ, Docker, observability (Grafana, Prometheus), or Azure DevOps in production.
• Public SQL or C# samples on GitHub/GitLab.

What You Can Expect

• High pace, real systems with production paths that matter to clients; ownership and clear technical standards.
• Direct collaboration with engineering and analytics-adjacent roles; visible impact on data quality, cost, and attribution correctness.
• Competitive compensation aligned with senior data/SQL experience.
• Remote-first culture; global hiring with timezone overlap required and agreed per hire.
• AI-first engineering culture with premium AI tooling and strong SQL/attribution craft.

Hiring Process

1. Application — CV + short answers.
2. Intro call — company overview and background (30 minutes).
3. Technical interview — SQL Server design, tuning, real scenarios, dynamic query plans; C# / ORM / data access.
4. Paid trial period — 2–4 weeks paid collaboration to work on real problems and assess fit.
5. Final conversation — discuss trial outcomes and team fit.
6. Offer — terms and start date if a fit.

How to Apply

Fill out the application form — no cover letter, no formalities.