At a Glance
- Tasks: Design and maintain a cutting-edge data platform using Microsoft Azure and Fabric.
- Company: Join Rackspace Technology, a top-rated workplace known for innovation and collaboration.
- Benefits: Enjoy competitive pay, bonuses, stock options, and a supportive work environment.
- Other info: Be part of a diverse team committed to empowering customers and embracing technology.
- Why this job: Make an impact by working on transformative cloud solutions and advanced data engineering.
- Qualifications: 3+ years in Azure, strong SQL and Python skills, and experience with data security.
The predicted salary is between 63000 - 77000 £ per year.
Rackspace Technology is a leading end-to-end, hybrid cloud and AI solutions company. We can design, build, and operate our customers' cloud environments across all major technology platforms, irrespective of technology stack or deployment model. We partner with our customers at every stage of their cloud journey, enabling them to modernize applications, build new products, and adopt innovative technologies.
We are seeking a highly skilled Azure Data Engineer to design, build, and maintain our enterprise data platform. In this role, you will implement a modern data lakehouse architecture capable of supporting raw and curated data zones, scalable batch processing, and future analytical workloads. You will play a key role in integrating our existing data pipelines, models, and transformation logic into a unified ecosystem built on Microsoft Fabric and Azure Databricks. A heavy emphasis is placed on enforcing strict encryption, comprehensive logging, auditing, and fine-grained access controls to secure identifiable data.
Location: on-site with a customer in Central London.
Key Responsibilities
- Data Lakehouse Architecture: Design and optimize a high-performance lakehouse pattern utilizing Microsoft Fabric OneLake and Azure Data Lake Storage Gen2 (ADLS Gen2).
- Data Zone Management: Maintain architectural segregation between raw storage (immutability, landing) and curated data zones (cleansed, conformed business layers) while securely handling identifiable data.
- Scalable Data Processing: Develop, tune, and monitor large-scale batch processing pipelines using Azure Databricks (Spark-based processing) and PySpark.
- Orchestration & Workflow: Build automated data workflows using Microsoft Fabric Data Factory and Azure Data Factory to move data efficiently across the platform.
- Legacy & Model Integration: Ensure seamless integration with existing data pipelines, legacy data models, and established transformation logic without breaking downstream analytical operations.
- Platform Security & Governance: Implement enterprise-grade security baselines including data-at-rest/in-transit encryption, structured logging, automated audit trails, and strict access controls (RBAC, ABAC, and row/column-level security).
- Future-Proof Analytics: Structure data foundations to readily support future analytical workloads, advanced reporting, and data science use cases.
Required Technical Skills
- Cloud Platform & Fabric: 3+ years of dedicated hands-on experience in Microsoft Azure, with practical exposure to the Microsoft Fabric ecosystem (OneLake, Data Factory, Fabric Lakehouse).
- Big Data Processing: Deep technical expertise with Apache Spark / Azure Databricks for distributed compute, memory optimization, and Delta Lake formats.
- Data Engineering Languages: Advanced proficiency in SQL (T-SQL, SparkSQL) and Python (PySpark).
- Security & Compliance: Direct experience implementing security controls for sensitive or identifiable data, utilizing Azure Key Vault, Azure Monitor, Log Analytics, and Microsoft Purview.
- Data Integration: Proven track record of migrating, refactoring, or connecting legacy SQL/stored procedure logic and existing pipelines into modern cloud formats.
Preferred Qualifications & Certifications
- Certifications: Microsoft Certified: Azure Data Engineer Associate (DP-203) or Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) is highly advantageous.
- DevOps/IaC: Experience deploying data infrastructure as code using Terraform, Bicep, and managing deployments via Git/Azure DevOps.
Soft Skills
- Exceptional analytical and root-cause debugging skills for distributed Spark jobs and multi-stage pipelines.
- Ability to collaborate with compliance and security teams to validate data privacy baselines.
- Strong communication skills to bridge technical delivery with business intelligence requirements.
Our compensation reflects the cost of labor across several geographic markets. The compensation range for this position ranges from 61,079.00/year in our lowest geographic market up to 81,370.00/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. The compensation package may also include incentive compensation opportunities in the form of annual bonus or incentives, equity awards and an Employee Stock Purchase Plan (ESPP). Learn more about benefits at Rackspace.
We are the multicloud solutions experts. We combine our expertise with the world’s leading technologies — across applications, data and security — to deliver end-to-end solutions. We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future.
Though we’re all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission. We bring our whole selves to work every day. And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe. We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic. If you have a disability or special need that requires accommodation, please let us know.
Azure Data Engineer (Fabric & Cloud Data Platform) in Bromley employer: Rackspace Technology
Rackspace Technology is an exceptional employer, renowned for its commitment to fostering a collaborative and inclusive work culture that empowers employees to thrive. With a focus on professional development and growth opportunities, team members are encouraged to embrace their unique perspectives, driving innovation and delivering impactful solutions for clients. Located in the UK, Rackspace offers competitive compensation packages, including bonuses and equity awards, making it an attractive choice for those seeking meaningful and rewarding employment.
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