Data Engineer

Reposted 15 Days Ago
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Wrocław, Dolnośląskie, POL
In-Office
Senior level
Fintech • Financial Services
The Role
Seeking a Senior Associate, Full-Stack Engineer to develop scalable database solutions, optimize data models, and collaborate cross-functionally. Responsibilities include data management, performance tuning, and implementing ETL processes.
Summary Generated by Built In

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.

We’re seeking a future team member for the role of Senior Associate, Full-Stack Engineer, to join our accting and admin team. This role is based in Wroclaw, Poland.


Title in the contract: Senior Associate, Full-Stack Engineer

In this role, you’ll make an impact in the following ways: 

  • Work closely with source system owners, reporting teams, and data consumers to gather requirements and translate them into scalable database solutions.
  • Understand end-to-end data flows, key entities, attributes, and relationships across upstream and downstream systems.
  • Convert analytical and reporting needs into logical and physical data models.
  • Create and maintain model documentation (ERDs, entity/attribute definitions, mapping specs, naming standards).
  • Develop and optimize database objects such as tables, views, indexes, materialized views, sequences, stored procedures/functions, and packages.
  • Apply performance tuning techniques (SQL tuning, indexing strategy, partitioning, query plans) to ensure efficient processing at scale.
  • Implement validation checks, reconciliation logic, and exception handling to detect and resolve data issues.
  • Enforce standards for data definitions and ensure consistency across environments (e.g., dev/qa/prod, multiple platforms).
  • Maintain data dictionaries, reference/master data rules, and metadata needed for governance and traceability.
  • Promote standard naming conventions, code sets, and reusable patterns.
  • Build/maintain database-side ETL/ELT logic and scheduling dependencies where applicable.
  • Monitor loads, troubleshoot failures, analyze root cause, and implement corrective actions.
  • Identify opportunities to improve data sharing and reduce duplicated data transformations across teams.
  • Contribute to data stewardship practices: definitions, ownership, access controls, and auditability.
  • Recommend long-term fixes for recurring data defects and performance bottlenecks.
  • Support changes through impact analysis, backward/forward compatibility planning, and controlled deployments.

To be successful in this role, we’re seeking the following: 

  • 4-5 years of experience 
  • Strong experience with Oracle and exposure to Snowflake (or similar cloud data platforms)
  • Expert-level PL/SQL development and advanced SQL skills
  • Strong data engineering capability with real-world, production-grade delivery experience
  • Experience with AI Agentic Workflows and Automation.
  • Hands-on ability to build scalable workflows using Unix, PL/SQL, and Python
  • Experience building and optimizing batch pipelines running in Unix/Linux environments
  • Ability to write complex, performance-tuned SQL (execution plans, indexing awareness, tuning approach)
  • Practical experience with ETL/ELT (extraction, transformation, load, controls, audit, restartability)
  • Proven ability to handle large datasets with strong focus on data quality, reconciliation, and reliability
  • Strong troubleshooting skills for batch failures, data issues, and performance bottlenecks
  • Comfortable working with cross-functional teams to understand requirements and deliver solutions
  • Follows coding standards, best practices, and maintains documentation
  • Nice to have: AI exposure, ETL tool experience, GitLab CI/CD, and JIRA
  • Strong scripting knowledge: Shell scripting + good Unix command-line understanding
  • Must have RESTful web service experience.
  • Understand microservices based, scalable architecture (previous experience working with Kafka).
  • Experience implementing caching (using Hazel cast/ earache / Memcached/others) will be plus.
  • Strong experience in SDLC, DevOps processes – CI/CD tools, Git, etc.
  • Should be capable to look into the production issue by checking code & Splunk logs 

At BNY, our culture speaks for itself, check out the latest BNY news at:

BNY Newsroom

BNY LinkedIn 


 Here’s a few of our recent awards: 

  • America’s Most Innovative Companies, Fortune, 2025
  • World’s Most Admired Companies, Fortune 2025
  • “Most Just Companies”, Just Capital and CNBC, 2025

Our Benefits and Rewards:

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter. 

BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

Skills Required

  • Strong experience with Oracle and exposure to Snowflake
  • Expert-level PL/SQL development and advanced SQL skills
  • Experience with AI Agentic Workflows and Automation
  • Hands-on ability to build scalable workflows using Unix, PL/SQL, and Python
  • Experience building and optimizing batch pipelines running in Unix/Linux environments
  • Ability to write complex, performance-tuned SQL
  • Practical experience with ETL/ELT
  • Strong troubleshooting skills for batch failures, data issues, and performance bottlenecks
  • Must have RESTful web service experience
  • Strong experience in SDLC, DevOps processes - CI/CD tools, Git, etc.

BNY Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about BNY and has not been reviewed or approved by BNY.

  • Healthcare Strength Health coverage includes comprehensive options with a $0‑premium plan for eligible lower earners, expanded mental‑health support with personalized therapy, and strong income protection through short‑ and long‑term disability. These features have been recently enhanced and are paired with dental and vision coverage.
  • Parental & Family Support Parental leave provides 16 weeks of fully paid time for all parents, with added support such as adoption assistance. This breadth offers strong coverage for major family events.
  • Retirement Support The 401(k) program includes a company match and Roth options to support long‑term savings. Additional financial programs like tuition assistance and savings vehicles complement retirement readiness.

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The Company
HQ: New York, NY
41,739 Employees

What We Do

We help make money work for the world — managing it, moving it and keeping it safe. As a leading global financial services company at the center of the world’s financial system, we touch nearly 20% of the world’s investable assets. Today we help over 90% of Fortune 100 companies and nearly all the top 100 banks globally access the money they need. For 240 years we have partnered alongside our clients to create solutions that benefit businesses, communities and people everywhere.

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