Data & Analytics Engineer TLNT_NI
Remote / Online - Candidates ideally in
Ballymena, County Antrim, BT42, Northern Ireland, UK
Listed on 2026-06-17
Ballymena, County Antrim, BT42, Northern Ireland, UK
Listing for:
Ocho
Remote/Work from Home
position Listed on 2026-06-17
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing, Data Analyst, Data Science Manager
Job Description & How to Apply Below
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 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
The Person We Are Looking For 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
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 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 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 Apply here or reach out to Aaron Somers at Ocho for more information via Linked In.
Skills:
data engineering data business intelligence Benefits:
Work From Home
Note that applications are not being accepted from your jurisdiction for this job currently via this jobsite. Candidate preferences are the decision of the Employer or Recruiting Agent, and are controlled by them alone.
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
To Search, View & Apply for jobs on this site that accept applications from your location or country, tap here to make a Search:
Search for further Jobs Here:
×