Senior Data Engineer - Commodity Insights

Commodity Insights

The Role: Senior Data Engineer

The Location: Poland

The Team: The data engineering team is responsible for expanding and optimizing the company's data and pipeline architecture, ensuring smooth data flow and collection for cross-functional teams. The team values collaboration and works closely with software developers, database architects, data analysts, and data scientists to support data initiatives. What sets this team apart is their passion for building data systems from the ground up and their dedication to optimizing data delivery architecture. They value innovation and are excited about redesigning the company's data architecture to support the next generation of products and data initiatives.

The Impact: This role as a Senior Data Engineer is crucial to the business as it directly contributes to the company's data infrastructure and analytics capabilities. By creating and maintaining optimal data pipeline architecture and building infrastructure for data extraction and transformation, the Senior Data Engineer enables the organization to make informed business decisions based on accurate and reliable data. This role directly impacts our clients and markets by ensuring the availability of high-quality data for analysis and insights, leading to better product development, improved customer experiences, and informed decision-making.

What’s In It For You

• The opportunity to work with cutting-edge technologies and gain hands-on experience in Spark, Python, and AWS 'big data' technologies.
• Exposure to cross-functional teams and collaboration with stakeholders from executive, product, data, and design teams, providing a chance to develop a broad understanding of the business and its various functions.
• The potential for growth and development, with the chance to work on complex analytical projects, manage stakeholders, and take ownership of product deliverables.
• The global nature of the role, offering the opportunity to work on data initiatives that have a wide-reaching impact and contribute to the company's position as an innovative industry leader.
  

Responsibilities

• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Build the infrastructure required for optimal extraction, transformation, and loading of data from various sources using SQL/Python/Spark and AWS ‘big data’ technologies.
• Work with stakeholders, including the Executive, Product, Data, and Design teams, to assist with data-related technical issues and support their data infrastructure needs.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Handle project and stakeholder management activities and take full ownership of the quality and timeliness of product deliverables.
  

Key Qualifications

What We’re Looking For:

• 5-9 years of experience in a data engineering role, with a minimum of 5 years of experience in Spark and Python.
• Experience in performing root cause analysis on data and processes to identify areas for improvement.
• Proficiency in building data transformation processes, data structures, and workload management.
• Strong ability to manipulate and extract insights from large datasets.
  

Key Soft Skills

• Excellent logical thinking and problem-solving skills.
• Confident presentation skills and the ability to guide technical discussions.
• Welcoming and approachable attitude, with the ability to build strong professional relationships.
• Effective communication skills to collaborate with cross-functional teams and stakeholders.
  

Benefits

• Working with the newest technologies
• Job position matched to your experience and expectations
• Cash Incentive plan
• Recharge - is S&P Global’s flexible time-off approach under which there is no prescribed maximum amount of time off you can take
• Global Wellbeing Support - S&P Global will reimburse you each year, up to 1500 PLN for wellbeing-related activities, for expenses that help you achieve your own healthy lifestyle – mind, body and spirit.
• Five days off for charity/volunteering
• 5 additional Wellbeing days in year
• Free day on birthday and work anniversary
• Paid parental leave of 26 weeks for all parents
• 10 days of fully paid sick leaves
• English Classes
• Options to work from home
• Chillout & fun room (table tennis, table football, Xbox, billiards)
• Attractive benefits package (private health care, life insurance, MultiSport card)
• Fruit days, coffee, tea, chocolate
  

S&P Global delivers essential intelligence that powers decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead. As part of our team, you’ll help solve complex challenges that equip businesses, governments and individuals with the knowledge to adapt to a changing economic landscape.

S&P Global Commodity Insights enables organizations to create long-term, sustainable value with data and insights for a complete view on the global energy and commodities markets.

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: [email protected] and your request will be forwarded to the appropriate person. 

US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law.

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)

Job ID: 294107

Posted On: 2023-10-17

Location: Gdansk, Poland