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.
Key Responsibilities
- 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 DataOps 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
The Person We Are Looking For
- Strong commercial experience working with modern cloud-based data platforms such as Microsoft Fabric, Snowflake, Databricks, Synapse or BigQuery
- 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
Desirable Experience
- Experience with Azure, AWS or GCP
- Exposure to orchestration tools such as Airflow, Dagster or Fabric Pipelines
- Experience with Git, CI/CD pipelines and DataOps 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
Salary & Benefits
- 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
