Senior Data Engineer I in London

Energy Jobline ZR; City Of London; Hybrid; GBP 50,000 - 80,000; Full time

Job summary

A global analytics company in London is looking for a Senior Data Engineer. You will design scalable data solutions, mentor junior engineers, and collaborate with teams to improve data products. Ideal candidates have experience in Python, PySpark, and cloud platforms. This role offers a competitive benefits package, promoting work-life balance and personal growth.

Benefits

Generous holiday allowance

Health screening and medical benefits

Wellbeing programs

Employee assistance programs

Access to learning resources

Qualifications

• Good experience in data engineering or backend software engineering with a data focus.
• Strong proficiency in Python, PySpark, and working within Databricks environments.
• Hands-on experience designing and delivering data products via REST APIs and event-driven systems.

Responsibilities

• Design, implement, and optimise scalable data pipelines using Python, PySpark, and Databricks.
• Drive the delivery of customer-facing data products through APIs and Databricks.
• Mentor and coach junior engineers, supporting their development.

Skills

Python

PySpark

Databricks

REST APIs

Cloud platforms (AWS, Azure, GCP)

Agile development practices

Job description

Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.

We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.

Job Description Senior Data Engineer

Would you like to ensure the successful delivery of the Data Platform and Software Innovations?

Do you enjoy creating a collaborative and customer-focused working?

About Team

LexisNexis Intellectual Property, which serves customers in more than 150 countries with 11,300 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers.

About Role

As a Senior Data Engineer at LexisNexis Intellectual Property (LNIP), you will play a key role in delivering high-quality, scalable data solutions that power our Strategic Data Platform - the backbone for products like PatentSight+ and other analytics offerings.

In this role, you will not only design and implement robust data pipelines but also mentor junior team members, drive engineering best practices, and support the delivery of customer-facing datasets via Databricks, APIs, and event-driven systems. You'll take ownership of complex engineering tasks, contribute to architectural decisions, and collaborate with stakeholders across engineering, product, and domain teams.

Key Responsibilities

• Design, implement, and optimise scalable data pipelines using Python, PySpark, and Databricks
• Drive the delivery of customer-facing data products through APIs, Databricks-based sharing, and event-driven mechanisms (e.g., Kafka or similar)
• Take ownership of end-to-end features - from scoping and development to deployment and monitoring
• Lead and participate in technical design discussions, contributing to architectural improvements and long-term data strategy
• Actively mentor and coach junior engineers, supporting their technical and professional development
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions
• Conduct peer code reviews, uphold code quality standards, and champion continuous improvement practices
• Help maintain data quality, reliability, and observability across pipelines
• Contribute to the team's agile delivery process and provide input during planning and retrospectives

Requirements

• Good experience in data engineering or backend software engineering with a data focus
• Strong proficiency in Python, PySpark, and working within Databricks environments
• Hands‑on experience designing and delivering data products via REST APIs, event‑driven systems, or data sharing platforms like Databricks Delta Sharing
• Solid understanding of distributed data processing, ETL/ELT workflows, and data lake/lakehouse architectures
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and modern data tooling
• A track record of mentoring or coaching other engineers
• Strong communication and collaboration skills, including the ability to explain complex concepts to non‑technical stakeholders
• Familiarity with agile development practices.

Nice to Have

• Experience working with patent data, legal data, or other structured open data sources
• Exposure to tools like Airflow, dbt, or CI/CD pipelines for data workflows
• Understanding of data governance, quality frameworks, and observability tools
• Contributions to engineering documentation or internal knowledge sharing

Why Join Us?

Join our team and contribute to a culture of innovation, collaboration, and excellence. If you are ready to advance your career and make a significant impact, we encourage you to apply.

Work in a way that works for you

We promote a healthy work/life balance across the organization. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long‑term goals.

• Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

Working for you

We know that your well‑being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:

• Generous holiday allowance with the option to buy additional days.
• Health screening, eye care vouchers and private medical benefits
• Wellbeing programs
• Life assurance
• Access to a competitive contributory pension scheme
• Save As You Earn share option scheme.
• Travel Season ticket loan.
• Electric Vehicle Scheme
• Optional Dental Insurance
• Maternity, paternity, and shared parental leave
• Employee Assistance Programme
• Access to emergency care for both the elderly and children
• RECARES days, giving you time to support the charities and causes that matter to you.
• Access to employee resource groups with dedicated time to volunteer.
• Access to extensive learning and development resources
• Access to the employee discounts scheme via Perks at Work

About Business

At LexisNexis Intellectual Property (LNIP), we believe that whenever a person works on a patent and understands the future trajectory of a specific technology, that person has the potential to fundamentally change how society operates. We are proud to directly support and serve these innovators in their endeavours to better humankind. We enable innovators to accomplish more by helping them make informed decisions, be more productive, comply with regulations, and ultimately achieve superior results. By harnessing the latest advances in machine learning combined with expert analysis, LexisNexis Intellectual Property is disrupting how actionable insight is extracted from patent data. Information can now be accessed with efficiency, accuracy and at a speed that is just not possible by traditional methods. Our overall success is measured by how well we deliver these results.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.