# Senior Data Engineer > SPD Technology · Ukraine (Remote) · Full-time · Posted 2026-08-13 **Workplace:** remote **Department:** Nimble ## Description At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. And now we are looking for a **Senior Data Engineer** to join us as part of our team. ### About the role We are looking for a Senior Data Engineer to lead the build of an automated payments reporting and analytics platform for a client in the payments space. Today, revenue reporting for this business depends on manual journal entries and manual assembly of results — the general ledger and BI reporting do not reconcile without human intervention, and reporting is too aggregated to explain performance. Your mission is to replace that with a consistent, automated data flow: daily pipelines that land processor, CRM, and ERP data into a cloud data warehouse, post automatically to the general ledger, and feed a reporting layer granular enough to decompose any variance to budget down to its root cause. This is a high-ownership role with direct visibility to finance and business stakeholders, where the quality of your data models directly determines whether the business can trust its numbers. **Technical Stack** Core: Snowflake, dbt, SQL, Python, a modern orchestrator (Airflow / Dagster / Prefect), Git + CI/CD. Source systems in scope: multiple payment processors and a core payments API, a CRM (customer & pricing attributes), and an ERP/general ledger. A BI tool renders the end-user dashboards on top of the modeled data. ### As a qualified expert You will - Design and build automated, reliable ELT pipelines that integrate data from multiple source systems (payment processors, CRM, and ERP) into a cloud data warehouse on a daily cadence. - Automate financial reporting to the general ledger that reconciles with the reporting layer by design, replacing manual, error-prone processes. - Build and maintain a data-mapping layer that resolves customer identity across systems and rolls transactions up to a single customer key. - Model clean, well-documented data marts that make business performance explainable and support drill-down and variance analysis. - Deliver the data models that power a KPI and forecasting dashboard for finance and business stakeholders. - Ensure pipelines are robust and auditable with monitoring, data-quality checks, and alerting so issues are caught before reporting is consumed. - Collaborate with BI, finance, and integration partners to turn business requirements into reliable data products and define phased delivery. ### We’re looking for you if you have - 5+ years of professional experience in data engineering, with a track record of owning production data pipelines end to end. - Expert-level SQL — complex analytical queries, window functions, query optimization, and dimensional / star-schema data modeling. - Hands-on experience on a modern cloud data warehouse, ideally Snowflake (or comparable: BigQuery, Redshift, Databricks). - Strong experience with dbt (or an equivalent ELT transformation framework) for transformation and building tested, documented, version-controlled data models. - Proven experience building and scheduling ELT/ETL pipelines using a workflow orchestrator (e.g. Airflow, Dagster, Prefect) and designing idempotent, re-runnable, incremental loads. - Experience implementing data-quality testing, monitoring, and alerting as first-class parts of a pipeline. - Strong communication skills with the ability to work directly with finance/business stakeholders, clarify requirements, and explain data-model decisions clearly (English, written and spoken). ### Bonus points - Domain experience in payments, FinTech, or financial-services data — familiarity with concepts such as interchange, scheme/network fees, take rate, chargebacks, authorization rates, or surcharging. - Experience integrating payment-processor data (e.g. Worldpay, Adyen, Stripe) and normalizing heterogeneous processor data into a single model. - Experience supporting BI/analytics teams and self-service reporting tools (e.g. Power BI, Tableau, Looker, Sigma). - Exposure to analytics engineering or hands-on work with forecasting / cohort-based analytical models. - Data contracts and governance practices (dbt exposures, contracts/tests, semantic layers). ### What’s in it for You **Reveal great tech solutions** Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling client growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. **Experience an agile and flexible working environment** Enjoy the freedom of fully remote work with a flexible working schedule. Empower yourself with a stable workload and a stable income, supported by provided laptops and licensed software. We focus on lasting cooperation and unite result-oriented individuals who stand on a high-performance approach to work. **Embrace the opportunity for personal and professional growth** Benefit from performance and merit reviews, elevate your skills with personal development plans, and individual learnings through the corporate library, public speaking support, and more. **Be among like-minded people** Work with a team of one mind who cares about what they do and how they do. Collaborate with top-notch experts who are always ready to help and support you through any challenges. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Feel supported by your HR, and take advantage of our referral bonus program. ### Interview steps 1. Pre-Screening with the recruiter (up to 30 min) 2. Technical Interview (up to 90 min) 3. Interview with Manager (45 min) ## Apply [Apply at SPD Technology](https://apply.workable.com/spd-technology/j/5ABCD4492A/apply) --- Powered by [Workable](https://www.workable.com)