Future Tech Jobs
Future Tech Jobs
As a Data Engineer, you will develop and maintain robust data pipelines to support business intelligence and analytics. You will work closely with stakeholders to understand their data needs, design structured data models, and ensure high standards of data quality and performance.
The Data Architect will design and implement data solutions to meet business requirements across various departments, focusing on data provision, reporting, and analytics. The role involves collaborating with cross-functional teams to ensure data is organized, accessible, and secure, and aligning with long-term business strategies and compliance needs.
You will design, build, and deploy scalable data pipelines and AI/ML solutions to support vital national security projects. Responsibilities include writing high-quality Python code, maintaining data engineering pipelines, and integrating AI/ML models into production systems.
This role involves building and maintaining data pipelines for a new digital Screening service within the NHS England Digital Screening programme. You will develop ETL processes using PySpark, work in an Agile team, and ensure data quality and reliability for reporting dashboards.
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As a Data Engineer, you will play a crucial role in the company's digital transformation by designing, developing, and maintaining business intelligence solutions. You will work closely with technical teams to integrate systems, optimize queries, and deliver meaningful insights through reports and visualizations.
The Data Engineer role involves designing, building, and supporting robust data integration and ETL solutions using Talend and Unix. Key responsibilities include creating scalable data pipelines, ensuring high service reliability, collaborating with stakeholders, and mentoring team members in a secure government environment.
This role involves modernising a large-scale data platform by migrating data pipelines, notebooks, and workloads from a legacy Databricks environment to a modern AWS cloud-based architecture. The engineer will design and implement infrastructure using Terraform, automate deployments, and ensure secure onboarding of datasets and users. The position supports a major government transformation programme with a focus on data engineering, cloud migration, and platform automation.
The Data Engineer will design and maintain scalable data pipelines, storage, and reporting systems across multiple business functions. This role involves ensuring data quality, governance, and integration from operational, financial, and marketing sources while translating business needs into technical solutions. The engineer will act as the primary data specialist, building foundational systems that support decision-making and future growth.
This role involves leading the data acquisition function, defining ingestion strategies, and building Azure-based data pipelines. You will act as the domain’s primary Data Manager, ensuring data governance, lineage, quality, and master data management, while leading a team of data engineers to deliver high-value data solutions to various departments.
As a Data Engineer, you will build and optimize Azure data pipelines, support migrations to Azure Data Lake, and ensure data quality and governance. You will work in an agile environment, collaborating with global teams to drive innovation and technology advancements.
Design and lead data architecture initiatives using Databricks, dbt, and Azure Data Services, with responsibility for guiding a team of data engineers and managing stakeholder relationships. Focus on building scalable data pipelines and robust ETL/ELT workflows within Azure cloud environments. The role emphasizes strong technical leadership, data governance, and modern data platform practices.
This role involves designing and building scalable, production-ready data pipelines on Google Cloud Platform (GCP) to support enterprise-wide data delivery. The engineer will standardise data ingestion and transformation, embed data quality and monitoring, and collaborate with data science and analytics teams. Emphasis is on resilience, automation, and enabling reusable, configuration-driven frameworks across multiple domains.
As a Data Engineering Manager, you will lead a team of data engineers, driving the design and implementation of modern, cloud-based data platforms. You'll ensure the stability and evolution of legacy systems while fostering a culture of best practices and continuous improvement.
As a Data Engineer, you will design and maintain scalable data pipelines, develop ETL processes, and create data models for analytics. You will support cloud-based data platforms, implement data governance, and ensure data quality, working closely with stakeholders to drive strategic business decisions.
