Data Engineer

Embedded Shishya; Deutschland; Hybrid; EUR 70.000 - 110.000; Vollzeit

Benefits dieser Stelle

Flexible working hours

Hybrid/Remote workplace

Personal equipment selection

Zusammenfassung

Softeta is seeking a Senior Data Engineer for a banking client. You will design, implement, and continuously improve data ingestion, processing, storage, and sharing systems, building scalable data architectures for performance and reliability across on-prem and cloud environments.

You will develop ETL/ELT pipelines, ensure data quality, security, and availability, and collaborate with analysts, software engineers, and business stakeholders to deliver data-driven solutions.

Qualifikationen

• 3-5+ years as Data Engineer or similar role, financial industry is a plus.
• Proven SQL and Python experience; ETL/ELT tools are a plus.
• Experience with SQL & NoSQL databases and cloud platforms (AWS/Azure/GCP).
• Knowledge of data warehousing, streaming pipelines, and data quality practices.

Aufgaben

• Design, implement, and improve data ingestion, processing, storage, and sharing systems.
• Build scalable data architectures for performance and reliability.
• Develop and maintain ETL/ELT pipelines; ensure data quality and security.
• Collaborate with analysts, software engineers, and stakeholders to deliver data solutions.
• Implement monitoring and alerting for data workflows and data governance.

Kenntnisse

SQL proficiency

Python proficiency

Data pipelines

Cloud platforms

Kubernetes & Docker

Ausbildung

Bachelor's or Master’s in CS/EE/Data Science

Tools

Airflow

dbt

Kafka

Snowflake/BigQuery/Redshift

Jobbeschreibung

Softeta is a software engineering partner for finance, energy, industrial, and other high-stakes sectors. We specialize in building and modernizing backend-heavy, integration-critical systems where speed, accuracy, and reliability are non-negotiable. With 100+ AI and custom software experts across engineering hubs in Lithuania and Poland, we embed ourselves directly into client operations — delivering custom software, automation, and AI where they drive the most value.

We are seeking for a Senior Data Engineer for our client from the banking sector.

Job 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+ experience in a Data engineer position or a similar position, experience in financial industry considered as a Pluss.
• Proven experience with SQL and Python; Other ETL engines are a plus
• Experience with both SQL and NoSQL databases
• Hands-on experience with the cloud platforms (AWS or 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 like 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.