Senior Data Engineer

🔥 5 minutes ago

🌐 Romania, Serbia – Remote

🇷🇴 Romania – Remote 🇷🇸 Serbia – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Sedona Digital

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Sedona Digital is a process-led technology consultancy that helps enterprises define strategy, build AI- and data-driven products, modernise applications and secure and operate cloud-native environments. They offer services across technology strategy, data architecture and engineering, AI and predictive analytics, software product engineering, cloud migration and Azure managed services, DevOps/CICD, plus security and managed SOC capabilities to deliver ongoing operations and compliance.

📋 Description

• Assess and re-engineer ingestion pipelines from operational and source-system data • Design and implement robust data mappings, lineage, dependencies and controlled migration or cutover approaches • Develop and maintain detailed data reconciliation processes • Refactor and enhance PySpark-based data processing and hierarchy/roll-up capabilities • Introduce testing, versioning, metadata, observability and deployment controls • Collaborate with business and technical SMEs to improve data coverage • Assess GCP data pipeline options and contribute to implementation • Assess opportunities to source mappings and reference data directly from systems such as Microsoft Dynamics 365 • Support reporting hierarchy and filtering logic changes, including impact assessment, testing and reconciliation • Build and maintain automated data-quality checks, monitoring and operational controls • Support adoption of centralised reporting and data capabilities • Produce technical documentation, decision records, reconciliation evidence, variance explanations and handover materials • Deliver through a prioritised backlog and short iterative sprints with engineers and stakeholders

🎯 Requirements

• 5+ years of professional experience in Data Engineering or closely related data roles, with significant hands-on experience building and supporting production data solutions • Strong hands-on experience with PySpark, SQL and Databricks, including the development and support of production-grade data pipelines • Hands-on experience with GCP data technologies and data pipelines • Experience with data pipeline testing, optimisation and operational support • Strong experience with dimensional, master/reference or hierarchical data modelling • Experience implementing complex entity matching, data mappings and roll-up logic with appropriate traceability • Practical experience implementing automated data-quality checks and reconciliation processes • Experience with observability, audit history, version control and CI/CD within data engineering solutions • Experience assessing source-system data and documenting data contracts, mappings, lineage and dependencies • Experience managing controlled data pipeline or platform transitions • Ability to investigate data issues and clearly explain variances in values, record counts, mappings and hierarchy outcomes • Ability to work directly with platform teams, analysts and business SMEs, translating ambiguous reporting and mapping needs into tested engineering solutions • Strong communication skills with the ability to produce concise technical documentation, decision records, variance explanations and handover materials • Self-motivated and comfortable working within a collaborative, iterative delivery environment • Preferred: Experience working within Insurance, London Market, Reinsurance, broker, distribution or policy-level data environments • Preferred: Experience integrating with Microsoft Dynamics 365 or comparable operational source systems • Preferred: Experience with Power BI, including semantic models and reporting dependencies • Preferred: Experience with Slowly Changing Dimensions (SCDs) and historical hierarchy management • Preferred: Experience supporting complex master/reference data, entity matching and hierarchy solutions • Preferred: Experience investigating historical data and reporting discrepancies • Preferred: Experience supporting controlled data migrations, source-system transitions or platform changes • Preferred: Experience working within distributed Agile teams and collaborating with UK-based business and technical stakeholders