201 to 225 of 2,666 Remote Analytics Jobs

Advanced knowledge of Microsoft SQL Server, T-SQL, indexing, and query optimisation Experience with Azure SQL and related services (e.g. Azure Data Factory, Synapse Analytics is a plus) Strong understanding of data security and governance best practices Experience with SSRS, Power BI, or similar tools is advantageous Comfortable working ...

Advanced knowledge of Microsoft SQL Server, T-SQL, indexing, and query optimisation Experience with Azure SQL and related services (e.g. Azure Data Factory, Synapse Analytics is a plus) Strong understanding of data security and governance best practices Experience with SSRS, Power BI, or similar tools is advantageous Comfortable working ...

Advanced knowledge of Microsoft SQL Server, T-SQL, indexing, and query optimisation Experience with Azure SQL and related services (e.g. Azure Data Factory, Synapse Analytics is a plus) Strong understanding of data security and governance best practices Experience with SSRS, Power BI, or similar tools is advantageous Comfortable working ...

have a genuine impact. You'll be responsible for designing and building robust data pipelines, data models, and warehouse solutions while collaborating closely with analytics, product, and platform teams. You'll also act as a mentor to other engineers, helping to establish best practices, improve engineering standards, and drive ...

fantastic opportunity to join a forward-thinking business that places data at the centre of its operations and is investing heavily in its analytics capabilities. Role Overview As a Data Engineer, you'll be responsible for developing and maintaining robust data pipelines that support business intelligence and analytics. ...

fantastic opportunity to join a forward-thinking business that places data at the centre of its operations and is investing heavily in its analytics capabilities. Role Overview As a Data Engineer, you'll be responsible for developing and maintaining robust data pipelines that support business intelligence and analytics. ...

accountability models across business functions • Ensuring compliance with regulatory, governance and data protection requirements • Setting the architectural direction for data platforms, data lakes, warehouses, analytics and integration capabilities • Evaluating and recommending new technologies, platforms and architectural approaches • Providing architectural assurance, guidance and governance oversight to Data Engineering and BI teams ...

Geospatial Experience Candidates should have experience working with geospatial datasets and technologies, including: Shapefiles GeoParquet GeoPackage GeoTIFF Spatial data processing and transformation techniques Geospatial analytics and data engineering workflows Experience with Apache Sedona or similar geospatial processing frameworks is highly desirable. Role and Responsibilities: Collaborate with stakeholders, product owners ...

client is a Big 4 professional services firm whose Audit Technology team is at the forefront of innovation combining Artificial Intelligence, Data Engineering, Analytics and Software Development to transform how audit is delivered. Backed by a global network and significant investment in technology capability, the team has seen rapid growth ...

with SAP MM and Warehouse Management solutions. Exposure to Maximo, Tableau, SQL, AWS or similar enterprise technologies. Understanding of system integrations, data migration and analytics platforms. Experience working within Agile, Scrum or other project delivery methodologies. Familiarity with regulated environments, change control processes and compliance-driven systems. What ...

across cloud and on-premises environments, ensuring they are fit for purpose today and adaptable for tomorrow. Act as the bridge between business stakeholders, analytics teams, and engineering - translating commercial requirements into robust, well-reasoned architectural designs. Set the standard for data governance, data quality, metadata management, and master data ...

data models Solid background in data warehousing, data integration, and ETL/ELT processes Good understanding of data usage across operational systems, reporting, and analytics Knowledge of the systems development lifecycle (SDLC) and delivery/design processes Experience designing and governing scalable, robust, and maintainable data solutions Ability to collaborate ...

cost-effective. This includes provisioning and managing compute, storage, networking, and identity services, as well as supporting the use of advanced PaaS capabilities and analytics platforms. Responsibilities to include: Azure Cloud Engineering Build, configure, and maintain Azure cloud environments (IaaS, PaaS, storage, networking, identity). Deploy and support Azure Landing ...

approach, enabling reuse and potential monetisation of data assets. Data Engineering & Platforms Set data engineering standards and governance across Valpak. Enable trusted self‐service analytics via Reconomy’s Datastream platform. Oversee the design, optimisation and scalability of Azure‐based data platforms. Quality Assurance Implement Reconomy’s engineering quality strategy, standards ...

frameworks such as COBIT or COSO. Exposure to cybersecurity principles and domains such as vulnerability management and identity and access management. Experience using data analytics or dashboarding tools such as Power BI or Tableau to visualise and report automation outcomes. Desirable technical skills and qualifications Professional certifications such as CISA ...

following tools and technologies (although we do not expect applicants to have prior experience of all them): Google Cloud Platform for all of our analytics usages BigQuery SQL and dbt for our data modelling and warehousing PyData stack for model development and offline deployment Google Vertex AI platform for cloud ...

following tools and technologies (although we do not expect applicants to have prior experience of all them): Google Cloud Platform for all of our analytics usages BigQuery SQL and dbt for our data modelling and warehousing PyData stack for model development and offline deployment Google Vertex AI platform for cloud ...

following tools and technologies (although we do not expect applicants to have prior experience of all them): Google Cloud Platform for all of our analytics usages BigQuery SQL and dbt for our data modelling and warehousing PyData stack for model development and offline deployment Google Vertex AI platform for cloud ...

following tools and technologies (although we do not expect applicants to have prior experience of all them): Google Cloud Platform for all of our analytics usages BigQuery SQL and dbt for our data modelling and warehousing PyData stack for model development and offline deployment Google Vertex AI platform for cloud ...

following tools and technologies (although we do not expect applicants to have prior experience of all them): Google Cloud Platform for all of our analytics usages BigQuery SQL and dbt for our data modelling and warehousing PyData stack for model development and offline deployment Google Vertex AI platform for cloud ...

following tools and technologies (although we do not expect applicants to have prior experience of all them): Google Cloud Platform for all of our analytics usages BigQuery SQL and dbt for our data modelling and warehousing PyData stack for model development and offline deployment Google Vertex AI platform for cloud ...

following tools and technologies (although we do not expect applicants to have prior experience of all them): Google Cloud Platform for all of our analytics usages BigQuery SQL and dbt for our data modelling and warehousing PyData stack for model development and offline deployment Google Vertex AI platform for cloud ...

following tools and technologies (although we do not expect applicants to have prior experience of all them): Google Cloud Platform for all of our analytics usages BigQuery SQL and dbt for our data modelling and warehousing PyData stack for model development and offline deployment Google Vertex AI platform for cloud ...

following tools and technologies (although we do not expect applicants to have prior experience of all them): Google Cloud Platform for all of our analytics usages BigQuery SQL and dbt for our data modelling and warehousing PyData stack for model development and offline deployment Google Vertex AI platform for cloud ...

MQTT, Telegraf, Linux, Python, InfluxDB and TimescaleDB. Experience with integration of 3rd‐party systems Experience with statistical modelling, ML optimisation & forecasting Strong data analytics skills Experience in early‐stage start‐ups, consulting, or high‐growth environments where you've navigated ambiguity and taken initiative Experience working on (renewable) energy products ...