Senior Databricks Data Engineer
UK Visa Sponsorship Analytics
Analytics are greyed out due to low classification confidence (44.0%).
Occupation TypeTelecoms and related network installers and repairers
Occupation Code Skill LevelMedium Skilled
Sponsorship Salary Threshold
£41,700
(£21.38 per hour)
Standard minimum applies
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Description
Location: Northern Ireland (Hybrid) Hours: Permanent Full-time Salary: Very competitive Hiring: ASAP
About ISx4
ISx4 is a dynamic and innovative team, we harness the power of artificial intelligence and cloud computing to drive real-world impact. We work at the forefront of Analytics and AI technology, leveraging leading cloud platforms to build scalable, intelligent solutions. We provide Insight through Strategy, Solutions, Services & Support (Sx4). Our industry experience help derive competitive advantage for our clients, taking them on the journey from Hindsight, through Insight to Foresight.
We create, deliver and manage Analytics and AI solutions across all sectors including finance, government, life sciences, private sector and sport. Our services are increasingly in demand as Analytics and AI services become a core competency in every area of the business. ISx4 are formal certified partners with SAS, Microsoft, AWS, GCP, IBM and Databricks and have customers & staff located globally. These strategic partnerships allow us to remain vendor-neutral and focused on our core competency area of analytics services delivery. ISx4 have an ambitious hiring plan for the next few years with new hires at all levels to support the strategic growth of the firm.
The Role
We are seeking a Senior Databricks Data Engineer to lead delivery of data engineering workstreams within large-scale data platform and migration programmes.
This role combines hands-on technical expertise with consulting leadership, ensuring the successful design, delivery and operation of modern data platforms while working closely with client stakeholders.
You will play a key role in shaping architecture decisions, mentoring engineers and driving delivery across complex engagements.
What You'll Do
About ISx4
ISx4 is a dynamic and innovative team, we harness the power of artificial intelligence and cloud computing to drive real-world impact. We work at the forefront of Analytics and AI technology, leveraging leading cloud platforms to build scalable, intelligent solutions. We provide Insight through Strategy, Solutions, Services & Support (Sx4). Our industry experience help derive competitive advantage for our clients, taking them on the journey from Hindsight, through Insight to Foresight.
We create, deliver and manage Analytics and AI solutions across all sectors including finance, government, life sciences, private sector and sport. Our services are increasingly in demand as Analytics and AI services become a core competency in every area of the business. ISx4 are formal certified partners with SAS, Microsoft, AWS, GCP, IBM and Databricks and have customers & staff located globally. These strategic partnerships allow us to remain vendor-neutral and focused on our core competency area of analytics services delivery. ISx4 have an ambitious hiring plan for the next few years with new hires at all levels to support the strategic growth of the firm.
The Role
We are seeking a Senior Databricks Data Engineer to lead delivery of data engineering workstreams within large-scale data platform and migration programmes.
This role combines hands-on technical expertise with consulting leadership, ensuring the successful design, delivery and operation of modern data platforms while working closely with client stakeholders.
You will play a key role in shaping architecture decisions, mentoring engineers and driving delivery across complex engagements.
What You'll Do
- Lead design and implementation of enterprise-scale data pipelines and lakehouse architectures
- 7+ years experience in data engineering or data platform development
- Strong experience with Databricks, Spark and distributed data processing
- Experience with Unity Catalog, Delta Lake and streaming architectures
- Advanced Python and Microsoft SQL Server development
- Experience designing enterprise data architectures
- Proven experience leading engineering teams or workstreams
- Strong stakeholder engagement and consulting skills
- Working knowledge of Hadoop
- Experience with test-driven development and CI/CD
- REST APIs and Kafka experience
- Experience leading data platform migrations
- Cloud architecture expertise (AWS preferred)
- Experience managing delivery in large transformation programmes
- Experience delivering projects in regulated environments