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For Companies At a Glance
- Tasks: Manage and optimise a Data Warehouse for the oil and gas sector.
- Company: Join a leading organisation in upstream oil and gas operations.
- Benefits: Enjoy hybrid working options and opportunities for professional growth.
- Why this job: Be part of a critical team delivering impactful data solutions in a dynamic industry.
- Qualifications: Experience as a Data Engineer with strong SQL and data management skills required.
- Other info: This role is outside IR35, offering flexibility and independence.
The predicted salary is between 48000 - 84000 £ 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.
- Data Quality & Governance
- 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.
- Data Integration & Pipeline Management
- 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.
- Reporting & Business Intelligence
- 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 relevant experiences and insights.
✨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 upstream data management.
✨Tip Number 3
Showcase your problem-solving skills by preparing examples of how you've resolved data flow issues in previous roles. Be ready to discuss specific challenges you faced and the solutions you implemented, as this will demonstrate your hands-on experience and technical expertise.
✨Tip Number 4
Brush up on your SQL and data quality assurance techniques. Being able to articulate your proficiency in these areas will be crucial, as they are key components of the role. Consider working on a small project or case study that highlights your skills in data cleansing and validation.
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 Compelling Cover Letter: Write a cover letter that specifically addresses the key responsibilities outlined in the job description. Mention your experience with data quality assurance and governance, and how you can contribute to optimising the Data Warehouse environment.
Showcase Relevant Projects: If you have worked on projects involving data integration, pipeline management, or business intelligence tools like Power BI, be sure to include these in your application. Provide specific examples of how you improved data processes or reporting structures.
Highlight Soft Skills: In addition to technical skills, emphasise your troubleshooting abilities and collaborative approach. Mention any experience working with cross-functional teams, as this is crucial for delivering actionable insights and supporting operational workflows.
How to prepare for a job interview at Telosta
✨Showcase Your Technical Skills
Make sure to highlight your advanced SQL skills and any hands-on experience with relevant systems like SAP, Energy Components, or PI Process Book. Be prepared to discuss specific projects where you've successfully managed data integration or optimised data warehouses.
✨Demonstrate Data Quality Knowledge
Since data quality is crucial for this role, be ready to explain your experience with data cleansing and validation techniques. Share examples of how you've implemented data quality controls in previous positions to ensure accuracy and reliability.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities, especially regarding troubleshooting data flow issues. Think of scenarios from your past work where you had to resolve complex data challenges and be ready to walk the interviewer through your thought process.
✨Emphasise Collaboration Skills
This role requires working closely with various teams, so highlight your collaborative approach. Discuss experiences where you've partnered with engineers, analysts, or other stakeholders to deliver actionable insights or improve reporting structures.
