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- Tasks: Manage and optimise a Data Warehouse for the upstream oil and gas sector.
- Company: Join a leading organisation in the oil and gas industry, focused on innovation and data excellence.
- Benefits: Enjoy hybrid working options and opportunities for professional growth.
- Why this job: Be part of a dynamic team driving critical analytics and insights in a fast-paced environment.
- Qualifications: Experience as a Data Engineer with strong SQL skills and knowledge of upstream systems required.
- Other info: This role is outside IR35, offering flexibility and independence.
The predicted salary is between 48000 - 72000 £ per year.
A Data Engineer is sought to support the design, management, and optimisation of a Data Warehouse environment for an organisation operating in the upstream oil and gas sector. The successful candidate will lead data integration from key industry systems such as SAP, Energy Components, and PI Process Book, ensuring the accuracy and availability of data for operational and commercial decision-making. Success in this role means delivering a high-performing, validated data environment tailored to the complexities of upstream operations. The role supports business-critical analytics and reporting across technical, commercial, and operational teams.
Key Responsibilities
- Data Warehouse Management
- Own and maintain the organisation’s Data Warehouse as a single source of truth.
- Monitor and optimise warehouse performance, scalability, and resilience.
- Develop and implement robust data quality controls, including cleansing and validation processes.
- Define and enforce governance standards for data consistency, security, and regulatory compliance.
- Maintain detailed audit trails and documentation for all data transformations.
- Identify opportunities for automation and process improvement across the data lifecycle.
- Manage data pipelines from upstream oil and gas systems, including SAP, Energy Components, and PI Process Book.
- Ensure seamless ingestion, transformation, and storage of data in support of field operations, production reporting, and commercial analysis.
- Troubleshoot data flow issues and work with IT and business teams to onboard new data sources as needed.
- Collaborate with engineers, commercial analysts, and other stakeholders to deliver actionable reporting and insights.
- Support dashboard development and reporting structures using tools like Power BI, ensuring alignment with upstream KPIs and operational workflows.
- Act as a key technical resource for business intelligence tools and reporting optimisation.
Required Experience & Qualifications
- Proven experience as a Data Engineer or ETL Developer, ideally within the upstream oil and gas industry.
- Advanced SQL skills and expertise in relational database and data warehouse management.
- Hands-on experience with SAP, Energy Components, PI ProcessBook, or similar upstream systems.
- Strong knowledge of data quality assurance, cleansing, and validation techniques.
- Proficiency with Power BI or comparable reporting/visualisation platforms.
Preferred Qualifications
- Background in oil and gas data domains, including production, metering, hydrocarbon accounting, or commercial reporting.
- Experience with Python, R, or similar scripting languages for data manipulation and automation.
- Familiarity with data governance standards and compliance frameworks (e.g., GDPR, ISO 27001).
Key Skills & Attributes
- Strong troubleshooting skills with experience resolving upstream data flow issues.
- Expertise in ETL/ELT development and data integration specific to oil and gas environments.
- High attention to detail, especially around data integrity and auditability.
- Collaborative approach with technical and business stakeholders.
- Proactive, adaptable, and capable of operating in a fast-paced, asset-focused environment.
Data Engineer/Architect Oil and Gas (Outside IR35) employer: Telosta
Contact Detail:
Telosta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer/Architect Oil and Gas (Outside IR35)
✨Tip Number 1
Familiarise yourself with the specific data systems mentioned in the job description, such as SAP and Energy Components. Understanding how these systems operate will give you a significant edge during interviews, as you'll be able to discuss your relevant experience and insights confidently.
✨Tip Number 2
Network with professionals in the oil and gas sector, particularly those who work with data engineering. Attend industry events or join online forums to connect with potential colleagues and learn about the latest trends and challenges in data management within this field.
✨Tip Number 3
Prepare to discuss your experience with data quality assurance and governance. Be ready to share specific examples of how you've implemented data validation processes or improved data integrity in previous roles, as this is crucial for the position.
✨Tip Number 4
Showcase your technical skills by being prepared to solve real-world data problems during the interview. Brush up on your SQL and any relevant scripting languages like Python or R, as you may be asked to demonstrate your ability to manipulate and analyse data on the spot.
We think you need these skills to ace Data Engineer/Architect Oil and Gas (Outside IR35)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience as a Data Engineer or ETL Developer, particularly in the upstream oil and gas sector. Emphasise your advanced SQL skills and any hands-on experience with systems like SAP and Energy Components.
Craft a Strong Cover Letter: In your cover letter, explain why you are passionate about data engineering in the oil and gas industry. Mention specific projects or experiences that demonstrate your ability to manage data warehouses and ensure data quality.
Showcase Technical Skills: Clearly list your technical skills related to data integration, pipeline management, and reporting tools like Power BI. If you have experience with Python or R, make sure to include that as well, as it’s relevant for automation.
Highlight Problem-Solving Abilities: Provide examples of how you've successfully resolved data flow issues or improved data processes in previous roles. This will showcase your troubleshooting skills and your proactive approach to challenges in a fast-paced environment.
How to prepare for a job interview at Telosta
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, data warehousing, and the specific tools mentioned in the job description, such as SAP and Power BI. Highlight any projects where you've successfully managed data integration or improved data quality.
✨Understand the Industry Context
Familiarise yourself with the upstream oil and gas sector. Understand the challenges and opportunities within this field, and be ready to discuss how your skills can address these specific needs.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've tackled data flow issues or optimised data pipelines in previous roles. This will show your troubleshooting skills and your ability to work collaboratively with IT and business teams.
✨Emphasise Data Governance Knowledge
Discuss your understanding of data governance standards and compliance frameworks. Be ready to explain how you have implemented data quality controls and maintained audit trails in past projects.
