Data & Analytics Engineer

Data & Analytics Engineer Overview

Ocho is delighted to be working on behalf of our client to recruit a Data & Analytics Engineer to join a growing technology team focused on building a modern, scalable data platform.

This role is ideal for someone who enjoys owning the full data lifecycle, from source system ingestion through to trusted, report-ready datasets that drive business decision-making. Rather than being tied to a single reporting tool, you'll focus on creating a robust data foundation, governed semantic models and self-service analytics capabilities that empower teams across the organisation.

This is an opportunity to play a key role in shaping the future of the organisation's data function, establishing standards, improving governance and helping the business unlock greater value from its data.

• Build and maintain data pipelines that ingest and transform data from databases, APIs, SaaS platforms, files and other business systems
• Design and develop scalable ETL and ELT processes using modern data engineering tools and cloud platforms
• Create dimensional models, semantic layers and reusable datasets that provide consistent business metrics across the organisation
• Develop efficient SQL and transformation logic to support analytics, reporting and business intelligence requirements
• Implement automated data quality controls, validation frameworks and monitoring processes
• Optimise platform performance through effective modelling, query tuning and infrastructure design
• Manage deployments across environments and support CI/CD and Data Ops practices
• Configure security, governance and access controls to ensure data integrity and compliance
• Build trusted datasets that enable self-service analytics across Power BI and other reporting platforms
• Work closely with business stakeholders to translate business questions into measurable KPIs and actionable insights
• Maintain data dictionaries, lineage documentation and governance standards
• Support technical mentoring, code reviews and continuous improvement initiatives within the wider team

• Strong commercial experience working with modern cloud-based data platforms such as Microsoft Fabric, Snowflake, Databricks, Synapse or Big Query
• Advanced SQL skills with experience optimising queries and designing scalable data models
• Strong understanding of dimensional modelling, semantic layers and data warehousing principles
• Experience building ETL or ELT pipelines using tools such as dbt, Power Query, Spark, Azure Data Factory or Fabric Pipelines
• Experience implementing data quality, governance and security controls
• Strong understanding of reporting and analytics platforms, particularly Power BI and self-service analytics environments
• Experience working with APIs, SaaS applications and multiple enterprise data sources
• Comfortable engaging with both technical and non-technical stakeholders
• Strong communication, problem-solving and analytical skills

• Experience with Azure, AWS or GCP
• Exposure to orchestration tools such as Airflow, Dagster or Fabric Pipelines
• Experience with Git, CI/CD pipelines and Data Ops practices
• Knowledge of Microsoft Purview, Unity Catalog or similar governance tools
• Experience working with streaming or near real-time data
• Exposure to AI-assisted analytics and modern self-service data capabilities

• Competitive salary and benefits package
• Flexible working arrangements
• Opportunity to help shape the future data strategy of a growing organisation
• Exposure to modern cloud data technologies and enterprise-scale data initiatives