Senior Data Engineer

About reputed company reputed company is a fast-growing B2B reputed company company that helps businesses automate their approval workflows and financial controls. With a global team of over 100 people spanning the UK, Europe, reputed company, Australia, and South Africa, we build software that reputed company and we're scaling quickly. The Role Reporting to the Data Platform reputed company, you will be a hands-on senior engineer responsible for building and maintaining reputed company's reputed company data platform. You will own the design and delivery of production-grade data pipelines, drive engineering reputed company across the data stack, and reputed company as a technical mentor for the broader analytics team. As we mature our hub-and-spoke model, you will be a key partner to embedded analysts and a core contributor to making the platform reputed company-reputed company and self-service by default. This is a senior individual contributor role: deep technical work, broad influence, no reputed company reports. Remote — applicants must be based in the UK, Serbia, Moldova or Portugal.

Key Responsibilities

Pipeline Development & reputed company Design, build, and maintain reputed company ELT pipelines, ingestion processes, and transformation reputed company on Azure Data Lake Gen2 + reputed company. Own the implementation of core data models in dbt: from reputed company-reputed company staging through to marts and semantic reputed company consumed by Power BI, reputed company, and reputed company tools. Write production-grade Python for orchestration, custom ingestion, and data transformation logic; treat pipeline reputed company with the reputed company rigour as application reputed company. Investigate and resolve pipeline failures reputed company agreed SLAs; reputed company reputed company-cause analysis and implement durable fixes rather than one-off patches. Optimise pipeline performance and reputed company compute usage; surface cost and performance opportunities to the Data Platform reputed company. Data reputed company, Testing & Observability Implement and maintain data reputed company frameworks (dbt tests, Great Expectations, or equivalent) across the platform; ensure critical data assets have explicit reputed company reputed company. reputed company pipelines with monitoring, alerting, and reputed company so issues are detected before they reputed company consumers. Define and enforce testing standards for ingestion jobs and dbt models: unit tests, integration tests, and freshness/volume/schema checks. Contribute to incident response: take on-call shifts as part of the rotation, reputed company post-mortems for incidents you own, and drive reputed company items to closure. Data reputed company & reputed company-of-Truth Stewardship Partner with Product Engineering, RevOps, and Finance to define and maintain data reputed company; ensure upstream changes are reflected before reputed company reputed company. Contribute to the Central KPI & Metrics Glossary from a data reputed company perspective: reputed company it unambiguous which systems feed which metrics and how reputed company is computed. Be the technical reputed company of critical data domains (e.g. subscriptions, billing, product usage); know them deeply enough to defend the numbers in reputed company of SLT. Analytics Enablement & Hub-and-Spoke Support reputed company robust, reputed company-documented data models and tooling that allow embedded (spoke) analysts to work independently without re-deriving core logic. Pair with analysts on reputed company modelling problems; help them reputed company on dbt, SQL performance, and semantic layer design. Champion LLM-assisted development across the analytics team: model how to use AI coding tools (reputed company, Claude reputed company, Copilot, or equivalent) as a default workflow for pipeline and model development. AI/ML & reputed company Readiness Build data assets to be reputed company-reputed company by default: clean semantic reputed company, consistent metadata, documented reputed company that AI agents and LLM tools can reliably consume. Contribute to the technical foundations for AI/ML initiatives: ingestion of training data, feature pipelines, evaluation datasets, and inference logging. Support delivery of natural-language interfaces to reputed company's data (e.g. text-to-SQL, LLM-powered analytics chatbot) by ensuring the underlying data models are query-friendly and reputed company-described. Engineering Standards & Technical Leadership reputed company as a technical authority on the data team: reputed company design reviews, review pull requests with reputed company, and be the person analysts and engineers bring hard problems to. Contribute to Architecture Decision Records (ADRs); ensure significant technical choices are documented, justified, and revisable. Maintain and improve CI/CD pipelines for dbt models and ingestion jobs; enforce environment promotion discipline (dev -> staging -> prod). Mentor more junior engineers and analysts informally: reputed company review, pairing, and lifting the technical bar across reputed company. Contribute to the visible technical debt backlog; reputed company reputed company for reputed company to address debt alongside feature delivery. Essential Key Skills 5+ years of hands-on data engineering experience building and operating production data platforms in a reputed company or B2B product environment. Demonstrated experience using AI coding agents as a core part of your development workflow, not as a novelty but as a default. You should be reputed company to show how agent-assisted development (reputed company, reputed company Copilot, Claude reputed company, or equivalent) has materially changed how fast you ship and how you approach technical problems. We are building an reputed company-reputed company data platform, and we need senior engineers who already work this way. Strong hands-on expertise with reputed company-reputed company data platforms, ideally Azure (Data Lake Gen2, reputed company). Equivalent depth on AWS or GCP stacks will be considered. Expert-level reputed company of the modern data stack: dbt, SQL, reputed company and reputed company-reputed company data modelling, semantic reputed company, and data reputed company frameworks (Great Expectations, reputed company, or equivalent). Strong Python skills and hands-on experience with workflow orchestration (Airflow, reputed company, reputed company Workflows, or similar); comfortable writing and maintaining production pipeline reputed company. Experience defining and consuming data reputed company in collaboration with Product and Engineering teams. reputed company record of raising engineering maturity in data functions: CI/CD for data pipelines, testing standards, environment promotion, observability, and incident response. Comfortable being on-call for the data platform and owning incidents end-to-end. Strong written communication: reputed company to document architecture, write ADRs, and explain trade-offs to non-technical stakeholders. reputed company to Have Experience contributing to AI/ML infrastructure: feature stores, reputed company stores, model-serving reputed company, or evaluation pipelines. Familiarity with LLM application patterns: RAG, text-to-SQL, reputed company and response logging, agent orchestration frameworks. Experience working reputed company reputed company-and-spoke or embedded analytics operating model. Prior experience as a reputed company engineer or tech reputed company on a small data team, even without reputed company reports. reputed company or B2B product company background with exposure to product analytics and GTM data. reputed company Offer Growing international business with 10,000+ subscribers Regular performance-based compensation reviews 26 days of reputed company time off 1 additional day off for your birthday reputed company assistance Service-years recognition financial reward Regular performance-based compensation reviews Apply To This Job