Senior Data Engineer

🕒 June 16

🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 60%

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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SOFTETA

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

☁️ SaaS

🤝 B2B

Consulting • SaaS • B2B

SOFTETA is a leading IT service provider specializing in custom software development, digital transformation, and IT consulting for businesses of all sizes. From early-stage discovery to full-scale implementation, SOFTETA offers a comprehensive range of services including front-end and back-end development, AI and data solutions, and quality assurance. They partner with industry leaders globally to deliver tailored technology solutions that enhance business growth and efficiency. With a team capable of rapid scaling and delivering end-to-end solutions, SOFTETA ensures seamless execution and successful project outcomes for enterprises and startups alike.

📋 Description

• Design, implement, and continuously improve systems for data ingestion, processing, storage, and sharing. • Build and optimize data architectures for performance, scalability, and reliability. • Develop and maintain ETL/ELT pipelines using modern tools and frameworks. • Ensure seamless integration and synchronization across systems. • Uphold high standards of data quality, security, availability, and performance. • Collaborate with analysts, software engineers, and business stakeholders to understand data needs and deliver solutions. • Perform code reviews, troubleshoot software, and fix defects. • Implement monitoring and alerting for data workflows. • Gain expertise in a variety of banking processes and products.

🎯 Requirements

• 3-5+ years of experience in a Data Engineer position or a similar position; experience in the financial industry considered a plus. • Proven experience with SQL and Python; other ETL engines are a plus. • Experience with both SQL and NoSQL databases. • Hands-on experience with cloud platforms (AWS, Azure, or GCP). • Experience with container orchestration tools (Kubernetes, Docker). • Understanding of streaming data pipelines and platforms (Kafka, Spark, Flink). • Familiarity with data pipeline tools such as Airflow or dbt. • Experience with data warehousing solutions (Snowflake, BigQuery, Redshift). • Knowledge of solution integrations (real-time, message-based, event-driven). • Exposure to test automation and DevOps practices, including infrastructure as code and security best practices. • Experience within the risk or finance business domain is a strong advantage. • Ability to take ownership and drive initiatives independently. • Fluent English.

🏖️ Benefits

• Diverse and technically challenging projects. • Flexible working hours and a hybrid or remote workplace model. • Flexible schedule and an Agile/SCRUM environment. • Technical equipment that you can choose.