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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and operating data ingestion pipelines, with a strong focus on data quality, automation, and collaboration with data scientists. Proficient in Python, SQL, and version control, ensuring robust and maintainable data solutions.
Highest-signal resume keywords
Data Pipeline DevelopmentPython ProgrammingSQL ProficiencyVersion Control (Git)Data Quality Assurance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Ingestion PipelinesData MigrationAutomated TestingData Quality ChecksRelational DatabasesData Delivery MonitoringData Modeling PrinciplesHistorical Data ReloadsData ApplicationsProduction Code Ownership
Soft Skills
CuriosityResponsibilityCollaborationProblem-SolvingCommunication
Tools & Technologies
DatabricksDelta LakeAPIsGit
Industry Keywords
Data ScienceSoftware EngineeringComputer ScienceEnergy Sector Knowledge
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Build, migrate and operate data ingestion pipelines
- Migrate existing data collectors fetching market and vendor data from websites, APIs and files onto the modern data platform
- Build pipelines delivering data to Databricks/Delta Lake and existing trading data systems
- Implement automated tests, data-quality checks, safe reruns and historical data reloads
- Monitor data delivery, investigate failures and fix recurring problems
- Work with data scientists to make shared datasets clean, reproducible and ready for forecasting and trading models
- Contribute documented examples and reusable pipeline patterns
- Apply and promote engineering standards, modelling principles and quality standards
- Take ownership of delivered code and its production operation
Requirements
What you’ll need- Relevant educational background in computer science, software engineering, data science or similar, or equivalent practical experience
- Hands-on experience building data pipelines or data applications in Python, SQL or C#
- Working knowledge of SQL and relational databases
- Familiarity with version control (Git)
- Proficiency in English, written and spoken
- Willingness to take responsibility for production pipelines and drive improvements
- Curiosity and willingness to learn
- Prior energy-sector knowledge is not required
Benefits
Comp & perks- Tailored growth plans
- 100+ DC University courses
- Harvard Learning access
- 100+ yearly social and cultural events
- Global career paths through Equinor’s international network
- Flexible hours
- Part-time options
- Up to 2 work-from-home days per week
- One paid Friday off every month (July and December excluded)
- Up to 26 weeks paid parental leave
- Pension during parental leave
- Post-leave support
- Unlimited paid child’s sick days
- 5 additional days off on top of 5 weeks
- Extra senior days off for employees aged 55+
- 10% pension
- Health insurance
- Bonus scheme
- Equinor share programme
- Paid internet, phone and IT gear
- Free tickets and discounts for culture, family activities, hotels and restaurants
- Organic meals, including breakfast, lunch, snacks, dinner and takeaway
- Free barista café
- On-site gym, physiotherapy, chiropractic and massage therapy
- Office in central Aarhus near public transport