of data analytics. This role encompasses enhancing existing MI and BI capabilities, introducing next-generation analytical techniques. The BI Developer will contribute to complex projects, and be instrumental in aligning analytics with the company's broader objectives. What’s in it for you? We believe our people truly … Ability to take ownership of complex projects and see them through to completion. Essential: Experience with developing and troubleshooting complexETL processes. significant experience in an agile, technical environment. Strong experience using Python and SQL for predictive analytics. Advanced knowledge of reporting tools such as more »
Title: Senior Consultant Data Engineer - AWS & ETL Location: Belfast Are you a seasoned Data Engineer with expertise in AWS andETL pipelines? Our innovation & transformation consulting firm is seeking a Senior Consultant Data Engineer to lead data-driven initiatives and drive impactful transformation for our clients. Key Responsibilities … Leading the design and implementation of complexETL pipelines on AWS, ensuring scalability, reliability, and performance. Mentoring junior team members and providing technical guidance and support. Collaborating with clients to understand business requirements and architecting data solutions to meet their needs. Staying updated on the latest technologies … and best practices in data engineering. Requirements: Bachelor's or Master's degree in Computer Science, Engineering, or related field. Extensive experience in developing ETL pipelines and working with AWS services such as S3, Glue, Redshift, etc. Proficiency in programming languages like Python, Java, or Scala. Strong analytical andmore »
to also add GCP and on-prem. They are adding extensive usage of distributed compute on Spark, starting with their more complexETLand advanced analytics functions, e.g. Time Series Processing. They soon plan to integrate other approaches, including native distributed PyTorch/Tensorflow, Spark-based distributor … stacks Shape the ML engineering culture and practices around model & data versioning, scalability, model benchmarking, ML-specific branching & release strategy Concisely break down complex high-level ML requirements into smaller deliverables (epic à task) Proactively identify blockers across the team, help promptly and effectively to unblock them Bring more »
and implementing data models and algorithms to support data science and machine learning initiatives . Technical Requirements Proven track record leading complexETLand Data Infrastructure projects, as well as designing and building data intensive applications and services. Experience with data processing and distributed computing frameworks such more »
and implementing data models and algorithms to support data science and machine learning initiatives . Technical Requirements Proven track record leading complexETLand Data Infrastructure projects, as well as designing and building data intensive applications and services. Experience with data processing and distributed computing frameworks such more »
end to end solutions for an array of customer data projects. The role: Designing data pipelines, managing data warehouses, and implementing complexETL processes. Work closely with data scientists, analysts, and stakeholders to optimise our client’s infrastructure. Optimise data driven products, personalisation, reporting and overall business more »
end to end solutions for an array of customer data projects. The role: Designing data pipelines, managing data warehouses, and implementing complexETL processes. Work closely with data scientists, analysts, and stakeholders to optimise our client’s infrastructure. Optimise data driven products, personalisation, reporting and overall business more »
to also add GCP and on-prem. They are adding extensive usage of distributed compute on Spark, starting with their more complexETLand advanced analytics functions, e.g. Time Series Processing. They soon plan to integrate other approaches, including native distributed PyTorch/Tensorflow, Spark-based distributor … stacks Shape the ML engineering culture and practices around model & data versioning, scalability, model benchmarking, ML-specific branching & release strategy Concisely break down complex high-level ML requirements into smaller deliverables (epic à task) Proactively identify blockers across the team, help promptly and effectively to unblock them Bring more »
by the Trusts Information Governance and cybersecurity leads. 2.6 Maintain processes, documentation, concerning the development and optimisation of complexExtract, Transform & Load (ETL)/Extract, Load & Transform (ELT) data pipelines. 2.7 Produce technical documentation to support the administration and management of the corporate data warehouse and Business … of on-going professional development Experience Essential Significant experience in a database developer role in a multi-professional organisation Evidence of having developed complex database systems Evidence of having administered data warehouses including but not limited to: o SQL Server including SSIS, T-SQL o Azure Knowledge and … understanding of modern data analytics platforms including but not limited to: o Python o QlikSense Experience of presenting complex information so that it is understandable to users Desirable Experience with NHS Data, Dataflows and integrating data from multiple sources Awareness of NHS issues and initiatives Skills Abilities/ more »