採用
Required Skills
SQL
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 #Life AtBNY 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:
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Work closely with source system owners, reporting teams, and data consumers to gather requirements and translate them into scalable database solutions.
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Understand end-to-end data flows, key entities, attributes, and relationships across upstream and downstream systems.
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Convert analytical and reporting needs into logical and physical data models.
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Create and maintain model documentation (ERDs, entity/attribute definitions, mapping specs, naming standards).
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Develop and optimize database objects such as tables, views, indexes, materialized views, sequences, stored procedures/functions, and packages.
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Apply performance tuning techniques (SQL tuning, indexing strategy, partitioning, query plans) to ensure efficient processing at scale.
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Implement validation checks, reconciliation logic, and exception handling to detect and resolve data issues.
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Enforce standards for data definitions and ensure consistency across environments (e.g., dev/qa/prod, multiple platforms).
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Maintain data dictionaries, reference/master data rules, and metadata needed for governance and traceability.
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Promote standard naming conventions, code sets, and reusable patterns.
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Build/maintain database-side ETL/ELT logic and scheduling dependencies where applicable.
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Monitor loads, troubleshoot failures, analyze root cause, and implement corrective actions.
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Identify opportunities to improve data sharing and reduce duplicated data transformations across teams.
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Contribute to data stewardship practices: definitions, ownership, access controls, and auditability.
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Recommend long-term fixes for recurring data defects and performance bottlenecks.
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Support changes through impact analysis, backward/forward compatibility planning, and controlled deployments.
To be successful in this role, we’re seeking the following:
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7-9 years of experience
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Strong experience with Oracle and exposure to Snowflake (or similar cloud data platforms)
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Expert-level PL/SQL development and advanced SQL skills
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Strong data engineering capability with real-world, production-grade delivery experience
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Experience with AI Agentic Workflows and Automation.
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Hands-on ability to build scalable workflows using Unix, PL/SQL, and Python
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Experience building and optimizing batch pipelines running in Unix/Linux environments
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Ability to write complex, performance-tuned SQL (execution plans, indexing awareness, tuning approach)
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Practical experience with ETL/ELT (extraction, transformation, load, controls, audit, restartability)
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Proven ability to handle large datasets with strong focus on data quality, reconciliation, and reliability
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Strong troubleshooting skills for batch failures, data issues, and performance bottlenecks
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Comfortable working with cross-functional teams to understand requirements and deliver solutions
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Follows coding standards, best practices, and maintains documentation
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Nice to have: AI exposure, ETL tool experience, GitLab CI/CD, and JIRA
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Strong scripting knowledge: Shell scripting + good Unix command-line understanding
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Must have RESTful web service experience.
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Understand microservices based, scalable architecture (previous experience working with Kafka).
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Experience implementing caching (using Hazel cast/ earache / Memcached/others) will be plus.
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Strong experience in SDLC, DevOps processes – CI/CD tools, Git, etc.
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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:
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America’s Most Innovative Companies, Fortune, 2025
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World’s Most Admired Companies, Fortune 2025
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“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.
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About BNY Mellon

BNY Mellon
PublicBNY Mellon is a global investment company and one of the world's oldest banks, providing investment management and investment services to institutions, corporations and high-net-worth individuals. The company serves as a custodian for assets and provides treasury services, fund administration and other financial services.
10,001+
Employees
New York City
Headquarters
Reviews
4.0
31 reviews
Work Life Balance
3.4
Compensation
4.8
Culture
3.9
Career
4.1
Management
3.5
78%
Recommend to a Friend
Pros
Prestigious brand and networking opportunities
Excellent compensation and bonus structure
Exposure to complex financial systems
Cons
Work-life balance can be difficult
Legacy technology in some areas
High-pressure environment with strict deadlines
Salary Ranges
30 data points
Junior/L3
L2
L3
L4
L5
L6
Mid/L4
Senior/L5
Junior/L3 · Associate Client Reporting Performance I
1 reports
$70,635
total / year
Base
$61,422
Stock
-
Bonus
-
$70,635
$70,635
Interview Experience
8 interviews
Difficulty
3.0
/ 5
Duration
21-35 weeks
Experience
Positive 0%
Neutral 75%
Negative 25%
Interview Process
1
Application Review
2
Online Assessment/Technical Screen
3
HR/Recruiter Screen
4
Technical Interview
5
Behavioral Interview
6
Final Round/Superday
Common Questions
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
Culture Fit
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