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Senior Data Engineer (VMware cloud) [qt355]

SKM Group -
Remote

Quick apply

Job details

Full-time
£45,000 - £102,000 a year
10 hours ago

Benefits

Work from home

Qualifications

Azure
Computer Science
Kubernetes
Spark
NoSQL
Master's degree
Bash (Unix shell)
Bachelor's degree
Redis
S3
VMWare
Python
Information Technology

Full job description

We’re looking for a Senior Data Engineer to join our enterprise platform transformation team migrating critical infrastructure from Azure to VMware Cloud Foundation. You’ll work on a modern, scalable stack with a strong emphasis on cloud-to-cloud migration, high-availability storage, and AI data layer enablement.

Project Overview

This strategic initiative involves migrating enterprise data services, object storage, and caching layers from Microsoft Azure to VMware Cloud Foundation (VCF). The goal is to ensure zero data loss and seamless business continuity while building an AI-ready data platform for the future.

About the Role

As a Senior Data Engineer, you will own the migration workstream, designing end-to-end strategies for databases and storage services. You will lead the technical implementation of VMware DSM and vector databases, ensuring a secure, scalable, and high-performance transition.

Tech Stack

VMware Cloud Foundation (VCF), VMware Data Services Manager (DSM), Azure Data Platforms, Cosmos DB, Redis, MinIO, Ceph, Qdrant, Python, Bash, NoSQL, S3-compatible storage, Pinecone, Weaviate, Milvus, Delta Lake, Databricks, Spark, Azure Networking, Kubernetes, Prometheus, Grafana, ELK, Retrieval-Augmented Generation (RAG) architectures, Vector search.

What You’ll Do

Lead the migration of enterprise data services and Cosmos DB workloads from Azure to VMware Cloud Foundation and Data Services Manager (DSM).
Design and execute complex migration patterns, including dual-write, cutover, reconciliation, and rollback strategies to ensure zero data loss.
Deploy and optimize Redis Operator for caching and manage large-scale object storage using MinIO and Ceph.
Enable AI capabilities by implementing and managing Qdrant and other vector databases to support semantic search and RAG architectures.
Develop automation and operational tooling using Python and Bash for migration monitoring and platform management.
Collaborate with infrastructure and security teams to define disaster recovery, failover, and data governance standards.

Requirements

5+ years of experience in Data Engineering, Database Engineering, or Infrastructure Engineering.
Proven track record of leading large-scale cloud-to-cloud migrations with minimal downtime.
Deep hands-on expertise with VMware Cloud Foundation (VCF) and Azure data platforms.
Experience with distributed databases, NoSQL, and S3-compatible storage architectures.
Strong background in data validation, quality frameworks, and performance optimization.
Bachelor’s or Master’s degree in Computer Science, IT, or a related technical field.

What do we offer you?

Attractive salary
Large freedom and real influence
No unhealthy competition, team approach to meeting challenges
Remote-first, flexible working culture
Company apartments in cool cities across Europe: work and enjoy a memorable getaway

About Us

We are a software house with 18 years of experience and a global portfolio of projects. We help businesses modernize, scale, and innovate through custom software solutions. Our team embraces unconventional ideas and new technologies, delivering solutions with real impact. If you value professionalism, creativity, and a strong engineering culture, you'll feel at home here.

Pay: £45,000.00-£102,000.00 per year

Benefits:

Work from home

Experience:

VMWare: 4 years (required)

Work Location: Remote

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