Senior Data Engineer

Role: Senior Data Engineer

Duration: 12 months with possibility for extension

Location: Warsaw, Poland

Visa/Work Permit: Candidates from countries outside Poland must have their own arrangements

About Eucloid

At Eucloid, innovation meets impact. As a leader in AI and Data Science, we create

solutions that redefine industries—from Hi-tech and D2C to Healthcare and SaaS. With

partnerships with giants like Databricks, Google Cloud, and Adobe, we’re pushing

boundaries and building next-gen technology.

Join our talented team of engineers, scientists, and visionaries from top institutes like

IITs, IIMs, and NITs. At Eucloid, growth is a promise,

What You’ll Do

• Design, build, and optimize scalable data pipelines supporting enterprise banking and financial services use cases

• Develop and maintain Databricks-based data solutions using Apache Spark and Delta Lake

• Build, monitor, and troubleshoot ETL / ELT workflows, including failure handling and recovery mechanisms

• Perform performance tuning, capacity planning, and reliability testing for production data pipelines

• Collaborate with solution architects, analysts, and cross-functional engineering teams to deliver end-to-end data solutions

• Investigate data quality issues, identify root causes, and implement long-term fixes

• Create and maintain technical documentation for data pipelines and platform components

• Ensure all data solutions follow cloud-first, security-aware, and governance-aligned principles

• Contribute to the migration of legacy data warehouse platforms (on-prem or cloud DWH) to Databricks-based lakehouse architectures, ensuring data consistency, reliability, and minimal business disruption

• Design and operate data pipelines aligned to non-functional requirements (NFRs), including high availability (HA), disaster recovery (DR), and defined RTO/RPO objectives

What Makes You a Fit

Academic Background:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Statistics, or a related discipline

Technical Expertise

• 3–5 years of hands-on experience in data engineering roles

• Strong proficiency in SQL for analytical queries and data transformations

• Advanced experience with Python and Apache Spark

• Hands-on experience with Databricks Lakehouse architecture, including Apache Spark and Delta Lake

• Experience working with at least one major cloud platform (AWS, Azure, or GCP)

• Solid understanding of distributed systems and large-scale data processing architectures

• Familiarity with modern data stack tools such as Airflow, dbt, Terraform, or similar orchestration and transformation tools

• Familiarity with Databricks Unity Catalog for data governance, access control, and lineage management

• Awareness of Databricks cost governance and optimisation practices in largescale, multi-workspace environments

Domain & Delivery Experience

• Experience delivering data platforms in regulated BFSI / banking environments, supporting requirements such as BCBS 239, GDPR and internal data governance

  standards

• Exposure to regulated data platforms, including data quality, access controls and audit requirements

• Exposure to risk, finance, AML, or regulatory reporting data domains within financial services

• Understanding of data lineage, auditability, reconciliation, and data quality controls required for banking-grade data platforms

• Exposure to operating data pipelines with strict SLAs and enterprise reliability expectations

Additional Skills

• Strong debugging, troubleshooting, and problem-solving skills in complex, production-grade data environments

• Ability to work independently in complex, multi-team environments

• Experience contributing to architecture governance, technical standards and design reviews

• Ability to mentor junior engineers and provide technical guidance within delivery teams

Nice to Have

• Exposure to Data Mesh or domain-oriented data platform designs

• Experience supporting AI/ML or advanced analytics use cases on top of data platforms

• Prior exposure to UK or European banking environments

• Experience working on long-running, multi-year data transformation programs

Engagement Details

• Employment Type: Full-time, fixed-term (12 months)

• Location: Poland

• Start Date: Early February 2026

• Extension: Possible based on performance and program continuity

About Our Leadership

• Anuj Gupta – Former Amazon leader with over 22 years of experience in building and managing large engineering teams. (B.Tech, IIT Delhi; MBA, ISB Hyderabad)

• Raghvendra Kushwah – Business consulting expert with 21+ years at Accenture and Cognizant (B.Tech, IIT Delhi; MBA, IIM Lucknow)

Equal Opportunity Statement

Eucloid is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment.

Submit your resume to saurabh.bhaumik@eucloid.com with the subject line “Application: Senior Data Engineer Poland”