Senior Data Solutions Engineer

• Deliver high-quality consultancy to clients, providing strategic and technical leadership across the full data lifecycle to ensure business value is realised
• Shape and assure solutions spanning data strategy, governance, operating models, data capabilities, cloud platforms, integration, migration, analytics and AI
• Collaborate with stakeholders to understand business challenges, identify opportunities and develop and present tailored data solutions
• Design and oversee the development of technical architectures that align with client objectives, industry standards and best practice
• Define and uphold sound principles, frameworks and standards to ensure solutions are secure, scalable, resilient and cost-effective
• Act as the bridge between client objectives and delivery, translating requirements into target architectures, actionable roadmaps and assured solution designs
• Lead delivery by organising project teams, allocating resources, managing progress and ensuring successful outcomes from discovery through to production
• Provide leadership and guidance to project teams, supporting professional development through coaching, mentoring and capability building
• Contribute to business growth by supporting pre‑sales activities including scoping and estimation, preparing proposals and presentations and identifying opportunities to extend client engagements
• Maintain awareness of emerging technologies, methodologies and industry best practice, applying relevant innovations to client solutions
• Promote delivery excellence by ensuring solutions align with quality standards, governance requirements and measurable business outcomes

Requirements

• Proven ability to analyse complex business challenges and design effective, innovative data architectures and solutions
• Strong leadership skills with experience guiding project teams, mentoring colleagues and developing capability
• Excellent communication skills with the ability to clearly present and explain technical concepts to both technical and non‑technical audiences
• Self‑motivated, proactive and able to work effectively both independently and as part of a team
• Highly developed interpersonal skills with the ability to build trusted relationships with clients and act as a respected advisor
• Commercial awareness and the ability to understand and address the needs of multiple clients across different sectors
• Flexible and adaptable with the capacity to respond to changing priorities and business requirements
• Strong organisational skills with the ability to manage workload, allocate resources effectively and deliver to deadlines
• Passion for technology with a commitment to staying up to date with emerging tools, platforms and best practices in data and cloud
• Experience designing cloud data platforms in either Azure or AWS or significant on‑premise design experience
• 5+ years’ experience in data engineering, business intelligence or related roles
• Extensive ETL and data pipeline design experience, technology agnostic
• Experience implementing solutions using a range of cloud and data technologies such as Fabric, Azure Data Factory, Azure Event Hubs, Azure Data Lake Storage, Azure Function Apps, Azure Synapse Analytics, AWS Glue, AWS S3, AWS Lambda Functions, AWS Redshift, Databricks, Snowflake, Google BigQuery, Alteryx, SSIS or Informatica, with awareness of equivalent alternatives
• Strong understanding of data warehouse and data lake principles
• Demonstrable data modelling capabilities using Kimball, Inmon or Data Vault methodologies
• Experience working with relational database platforms
• Advanced SQL skills
• Exposure to data engineering coding languages such as Python, R or Spark
• Awareness of AI and ML methodologies and their application in data solutions
• Experience with data visualisation tools such as Power BI or Tableau
• Experience leading or mentoring junior data engineers, BI developers or consultants
• Experience acting as a technical lead on project delivery using Agile or DevOps methodologies including peer reviews and continuous improvement
• Experience using backlog management tools such as Jira or Azure DevOps

Core Competencies

Demonstrates expertise in designing and implementing data architectures and solutions, with a strong focus on cloud platforms such as Azure and AWS. Proven leadership in guiding project teams, mentoring colleagues, and delivering high‑quality consultancy to clients.

Highest-signal resume keywords

• Cloud Data Platform Design
• Data Architecture Development
• Leadership and Mentoring
• Advanced SQL Skills
• ETL and Data Pipeline Design

ATS Optimization Keywords

Hard Skills

• Data Engineering
• Business Intelligence
• Data Modelling
• Data Warehouse Principles
• Data Lake Principles
• Python
• R
• Spark
• SQL
• Data Visualisation

Soft Skills

• Excellent Communication
• Interpersonal Skills
• Organisational Skills
• Self-Motivated
• Flexible and Adaptable

Industry Keywords

• Data Strategy
• Governance
• Analytics
• AI
• Agile
• DevOps
• Emerging Technologies
• Pre‑Sales Activities
• Client Engagement
• Technical Leadership

Tools & Technologies

• Azure Data Factory
• AWS Glue
• Databricks
• Snowflake
• Power BI
• Tableau
• Jira
• Azure DevOps
• Azure Synapse Analytics
• Informatica

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