Senior Data Platform Engineer

Senior Data Platform Engineer

The role sits within the Managed Services function of the Data & AI practice. The delivery function develops and builds Data Platforms, Integrations, ML platforms etc for our clients – and Managed Services provides ongoing support and management once built and delivered. 

We are looking to supplement our team with a Senior Managed Services Consultant who has deep technical knowledge and client-focused experience in delivering ongoing support and optimisation for enterprise data platforms. In this role, you’ll act as a technical lead and escalation point for support services, working closely with our clients to maintain, troubleshoot, and enhance their data environments across cloud and on-premise technologies.

You will be instrumental in ensuring service delivery excellence, continuous improvement, and building long-term client relationships through proactive support and consulting.

You’ll be working, collaborating and socialising with your colleagues across all three of our offices in the UK, Bulgaria, and India. There will be a need to work outside of the normal office hours occasionally, but this can be remotely (from your home) and of course, this time will be recognised and rewarded. 

We are looking for a dynamic individual with exceptional interpersonal skills who is passionate and eager to learn new skills. There will be regular contact with clients, so applicants must be comfortable discussing technical concepts in a clear and concise language.  

Responsibilities

As a Senior Data Platform Engineer/Consultant in the Managed Services team, your responsibilities will include the following: 

• Act as the senior escalation point for complex incidents, problems, and service requests.
• Have an influence to the architecture of solutions with a focus on supportability. Contribute to our framework and processes
• Data administration including Purview and Orchestration. Data Quality rule administration and reporting.
• Ensure compliance of the solutions supported and carry out periodic architecture reviews.
• Create and maintain Disaster Recovery and Business Continuity plans
• Create Technical documentation, sharing operational and technical knowledge with the wider team.
• Manage small development projects to ensure our clients’ platforms are able to grow and adapt to their changing needs.
• Help to define and shape on-going continuous improvement initiatives
• Act as a Mentor to the wider Managed Service team

Experience & Skills 

• Experience and exposure to modern data platform technology, particularly Microsoft Tech Stack, including Azure, from a similar role.
• Significant demonstrable experience in (but not limited to) Microsoft SQL Server, Databricks, Azure Data Factory, Synapse, Fabric, Power BI, DevOps, Integration Services, Analysis Services.
• Strong understanding of SQL querying
• Strong record of organisation, proactivity and diligence – in a customer facing environment. 
• Attention to detail and a focus on continual improvement 
• Extensive problem solving experience and ability to identify both opportunities and issues 
• Strong ability to communicate (with strong written and spoken English) – experience leading client facing meetings essential
• Ability to effectively and concisely communicate with technical and non-technical stakeholders.
• Experience with various programming languages – SQL, Python/Pyspark, C#, Powershell, DAX, .NET. Additional languages that may benefit KQL, Javascript/VueJS & PowerQuery
• Ability and attitude towards investigating and sharing new technologies
• Experience of technical training/mentoring other team members

Key Words:

Azure - Microsoft Azure - Databricks - Data - Data Platform - Data & AI - SQL Server - Data Factory - Data Warehousing - Power BI - PowerBI - Data Analytics - Data Analysis 

We don’t believe hiring is a tick box exercise, so if you feel that you don’t match the job description 100%, but would still be a great fit for role, please get in touch.