Senior Data Engineer
Netcompany is hiring a Senior Data Engineer in London, United Kingdom. Level rates it ; you can apply on Netcompany.
Level's read on this job
- Little AI ●○○○ is how Level rates this data engineer role: aI is not part of the work.
- Tools and skills the posting cites include Databricks and AI automation.
- Level classifies it as a senior role.
- Level lists 167 other open roles at Netcompany.
- The role was posted in the last few days.
AI in this role
Netcompany is one of Europe’s leading technology partners, with more than 9,500 colleagues delivering digital solutions for governments, critical industries and businesses across Europe. We take responsibility for the full journey, from strategy and development to daily operations. As Europe’s leader in sovereign AI, we build technology on Europe’s own terms.
AI is a natural part of how we build solutions. We use it in business-critical systems through a proven delivery model where human judgement, transparency, security and accountability matter from design to daily operations. AI-related roles include roles clearly involving AI, machine learning, data science, generative AI, LLMs, AI automation, AI governance or AI architecture.
Build the data foundations for a large-scale migration. You'll design and operate repeatable pipelines that move varied source data into a single platform, taking ownership of data processing from ingestion to delivery.
Key responsibilities
- You'll work as part of a migration team, collaborating with the data lead, analysts, the platform team and source organisations throughout the delivery.
- Build repeatable processes to receive, unpack, validate and ingest data from multiple sources.
- Transform source extracts into consistent structures for migration to a single platform.
- Develop maintainable ingestion and transformation code using SQL, Python, PySpark and dbt.
- Implement automated checks that establish completeness and accuracy throughout the migration.
- Monitor, diagnose and recover failed or incomplete data processing.
- Maintain auditable records of data sources, mappings, transformations and outcomes, and apply agreed controls for secure data handling.
- You bring hands-on experience building and operating data pipelines, with the technical skills to deliver reliable data processing in a structured migration environment.
- Hands-on experience building and operating data pipelines on Azure, AWS or Google Cloud.
- Experience with Spark, PySpark, Databricks or comparable distributed processing technologies.
- Experience building modular, tested and documented transformations using dbt or an equivalent approach.
- Strong SQL and Python skills for writing and troubleshooting transformations, validation and reconciliation queries.
- Experience scheduling, monitoring and recovering pipelines using cloud-native or equivalent orchestration tools.
- Experience with Delta Lake, including transactional tables, schema changes and repeatable batch loading.
- Experience using Terraform or equivalent infrastructure as code to provision and maintain consistent cloud environments.
Build on your experience and keep developing
Your development continues through the responsibility you take, the projects you lead and the people you learn from. As part of a structured career model, you’ll build on the experience you already bring, supported by a personal mentor from the leadership group who can help guide your professional development, career direction and personal goals.
Be part of a shared community
Community is built through the way we work together. You’ll join teams where collaboration, trust and support are part of everyday work. We bring together colleagues with different backgrounds, identities, cultures and experiences, ensuring everyone is met with respect and has equal opportunities to develop and thrive.
Driven by responsible digitalisation
We believe digitalisation creates the most value when it is done responsibly. We build solutions that are secure, transparent, and designed to create lasting impact for people, businesses, and society. Responsibility is embedded in how we design, develop, and deliver every solution.
Benefits include
- Hybrid working model with some flexible working
- 25 days’ holiday
- Private Medical Health care via Vitality
- Pension contribution, Life Assurance
- Professional certifications supported as part of learning and development.
- A range of retail discounts to enhance your lifestyle, encompassing restaurants, supermarkets, travel, leisure activities and health and well-being services.
- Access to our Employee Resource Groups, our groups represent diverse backgrounds and provide a platform for colleagues to connect, learn, and support one another.
Company information
We pride ourselves on our entrepreneurial spirit and our capacity for doing things differently. Our culture is built on fostering low bureaucracy, emphasizing high agility and promoting flexibility, enabling everyone to contribute their best.
Netcompany is committed to providing an inclusive and barrier-free recruitment process for anyone wishing to apply for a job with us. We operate a Disability Confident Interview Scheme which means that we offer guaranteed interviews to all applicants with a disability who meet the minimum criteria for a role. Applicants are asked to opt in, so please let us know if you wish your application to be considered under this scheme.
If you need any reasonable adjustments or extra support during the recruitment process, please contact us at reasonableadjustments@netcompany.com.
#LI-JD1
How we rate this
Senior Data Engineer at Netcompany rates 32 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical data engineer job
- $148k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
Questions you could be asked
- Tell me about a workflow you automated with AI tools, end to end.
- Walk me through how you've used Databricks in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: AI Automation and Databricks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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