You'll Need to Succeed Proven leadership as Head of IT, CTO, or senior technical leader in tech-driven or scaling businesses Deep knowledge of: PHP 8+, MySQL 8, Apache 2.4, Redis AI/ML tools (speech/NLP, automation, prediction engines) Cloud infrastructure (preferably AWS) Cybersecurity best practices, disaster recovery, and penetration testing Demonstrated success in modernising platforms More ❯
speed and sustainability-delivering under tight deadlines without compromising quality. Your Qualifications 12+ years of software engineering experience, ideally in platform, infrastructure, or data-centric product development. Expertise in Apache Kafka, Apache Flink, and/or Apache Pulsar. Deep understanding of event-driven architectures, data lakes, and streaming pipelines. Strong experience integrating AI/ML models into More ❯
the success of the data department overall. TLA works with the modern data stack, utilising Snowflake for our data warehouse, dbt to transform data across our medallion architecture, and Apache Airflow for orchestration. Microsoft Azure is our choice of cloud provider for hosting infrastructure. Within the role you will be hands-on with all these exciting technologies. Many datasets … Nice-to-Have Skills: Experience with both batch and near real-time data pipelines Familiarity with Infrastructure as Code (Terraform) Experience with dbt and medallion architecture patterns Knowledge of Apache Airflow or similar orchestration tools Azure cloud platform experience Why Join TLA? TLA is a fast-moving, innovative digital business that partners with some of the biggest automotive brands More ❯
blackburn, lancashire, north west england, united kingdom
Outsource UK lTD
To: Chris McShee What You'll Be Doing As a Data Platform Engineer , your key responsibilities will include: Designing, developing, and maintaining robust, secure, and scalable data pipelines using Apache NiFi and related technologies. Troubleshooting, optimising, and maintaining NiFi flows — addressing performance, error handling, and throughput challenges. Integrating NiFi with cloud platforms, SQL/NoSQL databases, APIs , and third … a proven ability to work in regulated or high-security environments. Essential Experience & Knowledge: 3+ years' experience in data or platform engineering, or a related technical field. Expertise in Apache NiFi , including FlowFiles, Processors, Controller Services, and scheduling. Proven ability to design and optimise batch, real-time, and event-driven data flows. Experience integrating diverse data sources and systems More ❯