Senior Data Engineer – EU, EMEA

🔥 4 minutes ago

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SavvyMoney

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2009

🏦 Banking

💳 Fintech

☁️ SaaS

🔥 Funding within the last year

💰 $225M Private Equity Round - SavvyMoney on 2025-10

Banking • Fintech • SaaS

SavvyMoney is a financial wellness and embedded fintech platform built for banks, credit unions, and fintechs. The company provides real-time credit score insights, monitoring and alerts, personalized pre-qualified offers, account opening and onboarding workflows, and analytics to drive deposit and loan growth. SavvyMoney integrates with core and digital banking systems (70+ integrations), is positioned as a B2B SaaS partner to financial institutions, and is used to increase engagement, personalization, and measurable ROI—reaching tens of millions of consumers.

📋 Description

• Lead the design and evolution of our cloud-native data platform • Focused on scalable batch processing, event-driven workflows, and tight integration with backend microservices • Work across the full data lifecycle — from ingestion to transformation to serving • Design, build, and own batch-oriented data pipelines and ETL workflows • Collaborate with backend engineers to build and extend microservices that expose data capabilities via APIs • Ensure data quality, lineage, and observability through validation frameworks, monitoring, and alerting

🎯 Requirements

• 8+ years of experience in data engineering, backend engineering, or a hybrid role • Strong hands-on experience with AWS, including AWS Glue, AWS Lambda, AWS Step Functions, Amazon S3, Amazon Athena, Amazon Redshift • Experience building batch data pipelines and ETL systems at scale • Strong programming skills in Java (for microservices development) and Python (for data pipelines and Glue jobs) • Experience working with containerized services and orchestration via Amazon ECS • Experience designing or working within microservices architectures • Familiarity with event-driven systems (e.g., SQS, EventBridge) • Strong SQL skills and experience optimizing analytical queries • Experience with distributed processing frameworks (e.g., Spark via Glue) • Deep understanding of data modeling (analytical and operational), partitioning and storage strategies, performance tuning across multiple data systems

🏖️ Benefits

• 100% Remotely from your home office in Poland, Romania or Portugal • Collaborating closely with software engineers to build data-intensive systems that power analytics, reporting, and product features