About this role
Salary: £51,000 - 91,000 per year
Requirements: 3+ years of professional experience in data engineering or a data-heavy backend role, with production ownership of pipelines others depend onStrong SQL skills, including writing, reading, and evaluating the performance of non-trivial analytical queriesHands-on experience building and operating data pipelines with an orchestration framework; Dagster or Airflow is highly desired, while experience with Prefect, dbt, or comparable tools is relevantStrong Python skills, or fluency in another language used for data workExperience with a cloud data warehouse or analytical store such as BigQuery, ClickHouse, Snowflake, or RedshiftExperience integrating third-party REST APIs, including handling pagination, rate limits, partial failures, late-arriving and restated data, and inaccurate vendor documentationA strong instinct for data correctness, including reconciling totals, questioning plausible-looking numbers, and building assertionsAn AI-augmented working style, with experience using AI tools across the engineering workflow and explaining their practical valueExperience developing solutions in the cloud and/or using cloud servicesExcellent written and verbal communication skills in EnglishSelf-organized, goal-oriented, self-motivated, confident, thorough, and tenaciousBonus: Experience with cloud or SaaS billing data, such as AWS/GCP/Azure cost and usage exports, marketplace billing, or the FOCUS specificationBonus: Familiarity with GoBonus: Experience with systems requiring financial or audit-grade correctness, such as invoicing, metering, revenue reconciliation, or billing enginesBonus: Exposure to FinOps practices or cloud financial management productsBonus: BA/BS degree or equivalent practical experience Responsibilities: Build integrations with third-party billing and usage APIs to expand vendor coverage and make more customer spend visible in our platformKeep integrations current as vendors change their APIs and pricing models, and reduce the marginal cost of adding integrationsUse AI daily throughout the workflow, including exploring codebases and APIs, prototyping, generating and reviewing code, debugging, testing, and documenting; assess where AI improves velocity and where human judgment is neededOwn the quality of integration data, addressing duplication, gaps, race conditions, marketplace spend deduplication, and customers negotiated ratesBuild checks and reconciliation processes to verify data accuracyDesign and build models that normalize vendor bills across units, currencies, time granularity, resource and service taxonomies, and cost categoriesOwn ingestion pipeline orchestration, scheduling, and backfills end-to-end, making backfills safe, routine, and self-serviceCollaborate with product, support, and engineers who use the data to identify and address customer-impacting gapsPropose and drive work proactively rather than waiting for a specification Technologies: AIAirflowAWSRedshiftAzureBigQueryBackendClickHouseCloudData WarehouseGCPSupportKubernetesPythonRESTSQLSnowflakedbtAPIDevOps More:
We are DoiT, a global technology company helping cloud-driven organizations use the cloud to drive business growth and innovation. We combine data, technology, and human expertise through DoiT Cloud Intelligence to help customers solve multicloud challenges and improve efficiency. With expertise in Kubernetes, GenAI, and CloudOps, we partner with AWS, Google Cloud, and Microsoft Azure and work with more than 4,000 customers worldwide. This Data Engineer role is part of our R&D team and focuses on the data behind our Integrations Framework, which brings cloud, SaaS, data-cloud, and AI-vendor spend into a unified view. The role is remote and available to full-time employees in the UK, Ireland, Estonia, the Netherlands, Sweden, and Israel; we are also open to contractors in Eastern Europe and Portugal. We are a global remote team offering flexible schedules and support for professional and personal development. Full-time employee benefits include unlimited vacation, flexible working options, health insurance, parental leave, an employee stock option plan, a home office allowance, a professional development stipend, and a peer recognition program. We value entrepreneurship, learning, fun, and an inclusive workplace where diverse perspectives strengthen our work.
last updated 40 week of 2026