Data & Analytics Engineer

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

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

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

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.