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Senior Database Engineer

Gdansk, POL

Pay
Pay not listed
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Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
Apply at S&P Global

What you’ll work on

Full posting

10The Team: The Data Engineering team expands and optimizes our data pipeline architecture, working collaboratively with cross-functional teams to build scalable data systems that support next-generation products and analytics initiative.

As a Senior Database Engineer, you will directly contribute to the company's data platform, database infrastructure, and analytics capabilities.

  • Design and maintain scalable data pipeline and database architectures

  • Develop and optimize relational and NoSQL data solutions for quality and performance

  • Build ingestion, transformation and storage solutions using SQL, Python and cloud platforms

  • Develop APIs, data services and automation frameworks

  • Improve data platform reliability, observability and scalability with cross-functional teams

From the employer’s posting
10The Team: The Data Engineering team expands and optimizes our data pipeline architecture, working collaboratively with cross-functional teams to build scalable data systems that support next-generation products and analytics initiative.
As a Senior Database Engineer, you will directly contribute to the company's data platform, database infrastructure, and analytics capabilities. By designing and maintaining scalable data pipelines and database solutions, you enable the organization to make informed business decisions based on accurate, reliable, and accessible data. This role directly impacts our clients and markets by ensuring the availability, performance, and quality of critical data assets. You will be responsible for:
Design and maintain scalable data pipeline and database architectures
Develop and optimize data solutions using relational and NoSQL databases while ensuring data quality, consistency, and performance.
Build and support data ingestion, integration, transformation, and storage solutions using SQL, Python, cloud platforms, and distributed processing technologies.
Develop APIs, data services, and automation frameworks to improve data accessibility and operational efficiency.
Partner with cross-functional teams to continuously enhance data platform reliability, observability, and scalability.

What you’ll bring

All qualifications

Core experience

  • Experience with NoSQL databases.
  • Ability to collaborate and communicate effectively with both technical and non-technical stakeholders.
  • Experience with database design, data modeling, indexing, query optimization, performance tuning, replication, and high-availability solutions.
  • Experience building solutions and working in Agile environments (e.g., Scrum, Kanban).
  • Experience with cloud platforms and cloud-native data services.
  • Experience with workflow orchestration, version control (GitHub, GitLab, Bitbucket, Azure Repos), and CI/CD practices.
Qualification wording
Experience with NoSQL databases.
Ability to collaborate and communicate effectively with both technical and non-technical stakeholders.
Experience with database design, data modeling, indexing, query optimization, performance tuning, replication, and high-availability solutions.
Experience building solutions and working in Agile environments (e.g., Scrum, Kanban).
Experience with cloud platforms and cloud-native data services.
Experience with workflow orchestration, version control (GitHub, GitLab, Bitbucket, Azure Repos), and CI/CD practices.

Tools in this posting

  • Python
  • SQL
  • Azure
  • NoSQL
  • Django
  • FastAPI
  • Flask
Source — Tool mentions in context
- Develop and optimize data solutions using relational and NoSQL databases while ensuring data quality, consistency, and performance. - Build and support data ingestion, integration, transformation, and storage solutions using SQL, Python, cloud platforms, and distributed processing technologies. - Collaborate with Product, Engineering, Analytics, and Architecture teams to address data and database-related technical challenges.
- Experience with workflow orchestration, version control (GitHub, GitLab, Bitbucket, Azure Repos), and CI/CD practices. - Experience with Python, SQL, RESTful APIs, and modern API frameworks (FastAPI, Flask, or Django). - Understanding of distributed systems, streaming platforms, search/indexing technologies, NoSQL databases, and container orchestration platforms.
- Experience with cloud platforms and cloud-native data services. - Experience with workflow orchestration, version control (GitHub, GitLab, Bitbucket, Azure Repos), and CI/CD practices. - Experience with Python, SQL, RESTful APIs, and modern API frameworks (FastAPI, Flask, or Django).
Design and maintain scalable data pipeline and database architectures to support operational and analytical workloads. - Develop and optimize data solutions using relational and NoSQL databases while ensuring data quality, consistency, and performance. - Develop and optimize data solutions using relational and NoSQL databases while ensuring data quality, consistency, and performance.
- Develop and optimize data solutions using relational and NoSQL databases while ensuring data quality, consistency, and performance. - Develop and optimize data solutions using relational and NoSQL databases while ensuring data quality, consistency, and performance. - Build and support data ingestion, integration, transformation, and storage solutions using SQL, Python, cloud platforms, and distributed processing technologies.
- Minimum 5 years of experience in Data or Database Engineering, or a related role. - Experience with NoSQL databases. - Experience with database design, data modeling, indexing, query optimization, performance tuning, replication, and high-availability solutions.
- Experience with Python, SQL, RESTful APIs, and modern API frameworks (FastAPI, Flask, or Django). - Understanding of distributed systems, streaming platforms, search/indexing technologies, NoSQL databases, and container orchestration platforms. - Demonstrated ability to design and implement scalable, resilient, and high-performing data and database solutions.

Benefits in the posting

Full benefits wording
  • Our benefits include:
  • Health & Wellness: Health care coverage designed for the mind and body.
  • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
  • Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
  • Global Hiring and Opportunity at S&P Global:
  • Recruitment Fraud Alert:
  • -----------------------------------------------------------

From the employer’s posting.

About S&P Global

We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective.

In the employer’s words · Read in context

Posting record

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Open 6 monthsWe first saw this listing 181 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

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First seen by us
Apr 26, 2026 · 181 days ago
Recorded sightings
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Last seen by us
Oct 25, 2026

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Job description

View original posting ↗

About the Role:

Grade Level (for internal use):

10

The Team: The Data Engineering team expands and optimizes our data pipeline architecture, working collaboratively with cross-functional teams to build scalable data systems that support next-generation products and analytics initiative.

Responsibilities and Impact:

As a Senior Database Engineer, you will directly contribute to the company's data platform, database infrastructure, and analytics capabilities. By designing and maintaining scalable data pipelines and database solutions, you enable the organization to make informed business decisions based on accurate, reliable, and accessible data. This role directly impacts our clients and markets by ensuring the availability, performance, and quality of critical data assets. You will be responsible for:

Design and maintain scalable data pipeline and database architectures to support operational and analytical workloads.

  • Develop and optimize data solutions using relational and NoSQL databases while ensuring data quality, consistency, and performance.
  • Develop and optimize data solutions using relational and NoSQL databases while ensuring data quality, consistency, and performance.
  • Build and support data ingestion, integration, transformation, and storage solutions using SQL, Python, cloud platforms, and distributed processing technologies.
  • Collaborate with Product, Engineering, Analytics, and Architecture teams to address data and database-related technical challenges.
  • Develop APIs, data services, and automation frameworks to improve data accessibility and operational efficiency.
  • Partner with cross-functional teams to continuously enhance data platform reliability, observability, and scalability.

What We’re Looking For

Technical Skills

  • Minimum 5 years of experience in Data or Database Engineering, or a related role.
  • Experience with NoSQL databases.
  • Experience with database design, data modeling, indexing, query optimization, performance tuning, replication, and high-availability solutions.
  • Experience with cloud platforms and cloud-native data services.
  • Experience with workflow orchestration, version control (GitHub, GitLab, Bitbucket, Azure Repos), and CI/CD practices.
  • Experience with Python, SQL, RESTful APIs, and modern API frameworks (FastAPI, Flask, or Django).
  • Understanding of distributed systems, streaming platforms, search/indexing technologies, NoSQL databases, and container orchestration platforms.
  • Demonstrated ability to design and implement scalable, resilient, and high-performing data and database solutions.

Professional Skills:

  • Strong analytical and problem-solving skills.
  • Ability to collaborate and communicate effectively with both technical and non-technical stakeholders.
  • Experience building solutions and working in Agile environments (e.g., Scrum, Kanban).

About S&P Global Energy
At S&P Global Energy, our comprehensive view of global energy and commodities markets enables our customers to make superior decisions and create long-term, sustainable value. Our four core capabilities are: Platts for news and pricing; CERA for research and advisory; Horizons for energy expansion and sustainability solutions; and Events for industry collaboration.

S&P Global Energy is a division of S&P Global (NYSE: SPGI). S&P Global enables businesses, governments, and individuals with trusted data, expertise, and technology to make decisions with conviction. We are Advancing Essential Intelligence through world-leading benchmarks, data, and insights that customers need in order to plan confidently, act decisively, and thrive economically in a rapidly changing global landscape. Learn more at www.spglobal.com/energy.

What’s In It For You?

Our Mission:

Advancing Essential Intelligence.

Our People:

We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. We’re committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.

Our Values:

Integrity, Discovery, Partnership


Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits:

We take care of you, so you can take care of business. We care about our people. That’s why we provide everything you—and your career—need to thrive at S&P Global.

Our benefits include: 

  • Health & Wellness: Health care coverage designed for the mind and body.

  • Flexible Downtime: Generous time off helps keep you energized for your time on.

  • Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.

  • Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.

  • Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.

  • Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

Global Hiring and Opportunity at S&P Global:

At S&P Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration, we drive innovation and power global markets.

Recruitment Fraud Alert:

If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to reportfraud@spglobal.com. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre-employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.

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Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law.  Only electronic job submissions will be considered for employment.  

 

If you need an accommodation during the application process due to a disability, please send an email to: EEO.Compliance@spglobal.com and your request will be forwarded to the appropriate person.  
 
US Candidates Only: Know Your Rights: Workplace discrimination is illegal

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20 - Professional (EEO-2 Job Categories-United States of America), IFTECH202.1 - Middle Professional Tier I (EEO Job Group), SWP Priority – Ratings - (Strategic Workforce Planning)
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Gdansk, POL

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