Senior Data Engineer at Netcompany
At a glance
- Company
- Netcompany
- Location
- London, GB, United Kingdom
- Work arrangement
- Hybrid
- Employment type
- Full-time
- Experience
- 2–5 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this Netcompany job
- 🏢 Netcompany has 5 jobs here, 5 with visa sponsorship see all
- 📊 13 Data Engineer jobs in the United Kingdom in the last 60 days see them
- 🛂 Skilled Worker visa. Standard minimum salary: £41,700 a year guide
- 💡 No salary shown. Ask Netcompany if it is above the minimum.
Updated 2026-11-03, from our data and official sources.
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About the role
Responsibilities:
- Design, build and maintain end-to-end data platforms and scalable pipelines (batch and streaming).
- Ingest, store, transform and model large datasets; implement ETL/ELT best practices.
- Implement streaming solutions using Event Hubs/Kafka and expose data via APIs for consumers.
- Collaborate with business and development teams to translate requirements into data solutions.
- Communicate architecture, produce prototypes and contribute to delivery, governance and testing practices.
- Coach and mentor junior engineers and contribute to the Data Practice (pre-sales, accelerators, knowledge sharing).
Requirements:
- 4+ years data engineering experience with strong Azure skills: Databricks, Data Factory, Data Lake and SQL.
- Experience with streaming (Event Hubs, Kafka), APIs, ETL, and handling large/complex datasets.
- Proficiency in Python, R and SQL; solid data modelling knowledge (Kimball/Star Schema).
- Familiarity with DevOps/DevOps practices, version control (Git), testing and validation in pipelines/notebooks.
- Strong communication, analytical skills and ability to work in Agile delivery teams.
- Must be eligible for Security Clearance; certifications and public/private sector experience are desirable.
Responsibilities
Design and build data platforms and pipelines, apply data engineering techniques to solve complex problems for public and private sector clients, collaborate with stakeholders to develop data-driven solutions, and communicate architecture and findings.
Requirements
4+ years of data engineering experience with strong Azure data platform skills (Databricks, Data Factory, Data Lake, SQL). Experience with streaming (Event Hubs, Kafka), APIs, ETL, and modeling large datasets using techniques such as Kimball/Star Schema. Proficiency in Python and R, plus solid data governance and version control practice; must be eligible for Security Clearance.
Key skills
- Azure Databricks — in 6 other listings on The Stack
- Azure Data Factory — in 14 other listings on The Stack
- Azure Data Lake — in 1 other listing on The Stack
- SQL — in 527 other listings on The Stack
- Event Hubs — not in any other listing on The Stack
- Kafka — in 167 other listings on The Stack
- APIs — in 30 other listings on The Stack
- ETL — in 40 other listings on The Stack
- Python
- R
- Data modeling (Kimball
- Star Schema)
- Data pipelines
On The Stack (as of 2026-11-03)
Frequently asked questions about Netcompany
Is this Senior Data Engineer role still open?
It was posted on 2026-11-02 and is listed as active on The Stack. Confirm on Netcompany's application page before applying.
Does Netcompany offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on Netcompany's site.
Where is this role located?
The listing gives the location as London, GB, United Kingdom. It is marked hybrid.
What skills does this role ask for?
The listing names: Azure Databricks, Azure Data Factory, Azure Data Lake, SQL, Event Hubs, Kafka, APIs, ETL, Python, R, Data modeling (Kimball, Star Schema), Data pipelines.