Salary: £80,000 - 80,000 per year Requirements: Proven ability to lead software engineering teams (people management and technical delivery). Proven experience in effectively allocating team resources, managing workloads, and coaching high-performing individual contributors. Experience with building data pipelines featuring modern tools such as: dbt, Airflow/Temporal, Airbyte, Debezium, and Kafka Connect. Strong proficiency in SQL and programming languages such as Python, Java, or Scala. Expertise with at least one modern data warehouse (Snowflake, BigQuery, Redshift). Strong understanding of data governance, security, and compliance frameworks (GDPR, ISO 27001, etc.). Bonus Skills/Abilities: - Experience with traditional AI/ML and related cloud offerings (TensorFlow/Google Vertex/Amazon Sagemaker). - Experience with generative AI, leveraging third-party LLMs to build platform/product capabilities. Responsibilities: Lead and manage the Data Platform team through the design, development, and delivery of a modern data pipeline for BI and AI/ML. Evaluate the technical decisions of the team to improve data processing, storage, and analytics capabilities. Foster a high-performing team culture through strong leadership, team collaboration, and talent development. Manage, mentor, and evaluate engineers' performance to drive efficiency, professional growth, and team success. Collaborate with product and engineering leaders to translate organizational goals into technical direction for the data engineering team. Effectively plan and oversee data platform projects, managing team workload to ensure consistent delivery and achievement of targets. Communicate project status, risks, and issues to stakeholders and leadership, ensuring transparency and realistic expectation management. Contribute to the organization's technical strategy, ensuring that the team’s work aligns with the company’s goals. Technologies: AI Airflow BigQuery Cloud Data Warehouse Java Kafka Python SQL Scala Security Snowflake TensorFlow dbt Support More: At aPriori, we offer an industry-leading Manufacturing Insights platform that empowers the world's largest manufacturers to identify, reduce, and manage manufacturing costs, carbon emissions, and feasibility challenges. Our platform leverages patented simulation technology to generate real-time data insights, unlocking value and enabling data-driven decision-making to achieve cost savings, boost efficiency, and speed up time to market. We are looking for an Engineering Manager to lead our newly formed, Belfast-based Data Platform Team in building a next-generation data platform that will leverage aPriori's proprietary data to deliver powerful insights and AI capabilities. In this role, you will work closely with aPriori product and domain experts to create a modern data pipeline with product-facing and internal capabilities for BI and traditional and generative AI. Founded in 2003, aPriori is disrupting the industry’s status quo, helping manufacturers digitally transform their businesses. Through our unique intellectual property, we enable manufacturers to accelerate product design and bring products to market faster while providing visibility into the sustainability of their choices. We foster a collaborative environment that encourages innovation, adaptability, and personal growth. We value our employees and recognize their contributions, promoting a positive work culture that includes flexible schedules and unique benefits. If you are a highly talented, self-motivated individual looking for an impactful role, we want to hear from you! last updated 4 week of 2026