Senior Data Engineer at OKTO Integrated Services, Lisburn, 3 Months, £450 per day

£450 per day

Contract Description

Job Description:

Location: Lisburn

Contract Length: 3 Months (2-3 days per week)

Rate: £450.00 per day

Role:

OKTO is seeking a Senior Data Engineer to lead the architecture and implementation of a mission-critical digital operations system for several major projects. This role is foundational to our mission – connecting diverse system endpoints such as power ,airflow, heating, medical gas and fire alarms into a centralised, resilient cloud-based infrastructure.

You will be responsible for designing the end-to-end data lifecycle from high frequency time series ingestion to the creation of a “Master Dashboard” that ensures critical systems remain vital, accurate and trustworthy.

Responsibilities:

  • Data architecture & modelling: Design and implement a scalable architecture on Microsoft Azure to organise raw system data into curated, reporting-ready layers.
  • Operational system integration: Build robust pipelines to ingest and process high-frequency time-series and IoT-like data from critical infrastructure.
  • Cloud database production: Develop and manage the foundational cloud database using Azure Databricks, Synapse and Data Lake to serve as the single source of truth.
  • Real-time processing: Implement and optimise streaming workloads using Kafka, Event Hub and Spark Streaming to ensure low-latency data availability for life-critical monitoring.
  • Governance & compliance: Enforce strict data quality frameworks and maintain PII/PHI compliance, ensuring the integrity of sensitive healthcare and operational data.
  • Visualisation & reporting: Collaborate with stakeholders to design and deploy the “Master Dashboard” using Power BI, utilising DAX and semantic models for actionable insights.

Requirements:

  • Azure mastery: Deep expertise in the Azure Ecosystem, specifically Databricks, Azure Data Factory (ADF), Synapse and Unity Catalog.
  • Data engineering: Proficiency in Python, PySpark and Spark SQL for ETL/ELT pipeline development.
  • Time-series expertise: Proven experience handling real-time, high frequency data feeds (e.g. aviation, sensor or industrial data)
  • Schema design: Advanced knowledge of Star and Snowflake Schemas and Lakehouse architectures.
  • Quality assurance: Hands-on experience with data validation tools like Great Expectations and observability platforms like Grafana.
  • DevOps: Familiarity with CI/CD processes using Azure DevOps or GitHub Actions.

Preferred Qualifications:

  • 6+ years of experience in data engineering with a focus on resilient, high availability systems.
  • Strong understanding of security protocols, including RBAC and Row-level Masking.
  • Ability to work closely with AI/ML teams to support predictive maintenance or digital data products.

Job Type: Fixed term contract
Contract length: 3 months

Pay: £500.00 per day

Experience:

  • Data Engineering: 6 years (required)

Work authorisation:

  • United Kingdom (required)

Location:

  • Lisburn (preferred)

Work Location: On the road