Leeds, West Yorkshire, Yorkshire, United Kingdom Hybrid/Remote Options
Fruition Group
Proven experience as an Analytics Engineer, Data Modeller, or similar position in a modern cloud-based data environment. Strong SQL skills and hands-on experience with platforms such as Snowflake, Azure Synapse, BigQuery, or Redshift. Deep understanding of Data Vault, Kimball, and dimensional modelling techniques. Experience designing data marts and semantic layers for BI tools (Power BI, Tableau, Looker). More ❯
CD pipelines, Terraform, CloudFormation, or Kubernetes. Deep understanding of data security, compliance, and governance processes. Excellent communication, leadership, and stakeholder engagement skills. Preferred Skills Experience implementing enterprise analytics using Snowflake, Redshift, BigQuery, or Azure Synapse. Knowledge of AI/ML pipelines and MLOps frameworks. Exposure to microservices and API-based integration. Certification in AWS, Azure, or Google Cloud architecture. Experience More ❯
at least one major cloud provider (AWS, Azure, or GCP Strong experience building cloud data lakes, warehouses, and streaming architectures. Proficiency with data processing tools such as Spark, Databricks, Snowflake, Hadoop, or similar. Strong knowledge of ETL/ELT frameworks, API integration, and workflow orchestration tools (Airflow, Azure Data Factory, AWS Glue, etc. Deep understanding of relational and NoSQL databases More ❯
Kafka, Airflow, or dbt. Strong SQL skills and experience with cloud platforms (Azure preferred). Solid programming background in Python, Scala, or Java. Knowledge of data warehousing solutions (e.g. Snowflake, BigQuery, Redshift). Strong understanding of data governance, security, and compliance (experience within financial services is a plus). Leadership experience, with the ability to mentor, influence, and set technical More ❯
and big data processing frameworks (e.g., Spark, Flink). Strong experience with cloud platforms (AWS, Azure, GCP) and related data services. Hands-on experience with data warehousing tools (e.g., Snowflake, Redshift, BigQuery), Databricks running on multiple cloud platforms (AWS, Azure and GCP) and data lake technologies (e.g., S3, ADLS, HDFS). Expertise in containerization and orchestration tools like Docker and More ❯
support governance and compliance requirements. Skills & Experience Advanced technical proficiency in SQL, Python, and modern data transformation tools (dbt strongly preferred), with experience in cloud data platforms (Azure Databricks, Snowflake, or similar). Proven experience designing and implementing scalable data architectures, including dimensional modelling, data lakehouse/warehouse concepts, and modern data stack technologies. Strong software engineering practices including version More ❯
a multinational or matrixed organization. 5+ years of experience in data engineering, analytics, or data management, with hands-on expertise in cloud-based data platforms (e.g., Azure, AWS, GCP, Snowflake). Proven expertise in designing, developing, and maintaining scalable data pipelines, ETL/ELT processes, and integrations to support advanced analytics. Experience with data governance frameworks, master data management (MDM More ❯
a multinational or matrixed organization. 5+ years of experience in data engineering, analytics, or data management, with hands-on expertise in cloud-based data platforms (e.g., Azure, AWS, GCP, Snowflake). Proven expertise in designing, developing, and maintaining scalable data pipelines, ETL/ELT processes, and integrations to support advanced analytics. Experience with data governance frameworks, master data management (MDM More ❯
engineering teams delivering end-to-end data solutions across cloud and on-premise environments. Solution Architecture – Design modern data lakes, warehouses, and lakehouses using Databricks, with additional exposure to Snowflake, Azure Synapse, or Fabric being a bonus. Data Modelling – Build and optimise enterprise-grade data models across varied data layers. ETL/ELT Engineering – Use tooling such as Databricks, SSIS More ❯
Core Capabilities Data Platform Architecture : Can design and justify a modern architecture, including specific technology choices among potential candidates (e.g. Azure Data Lake, Synapse or Fabric, Data Factory; Databricks; Snowflake; dbt; Power BI; etc). Preferably has experience with the Azure family of data related products. Can design and validate a data flow between systems to ensure there is a More ❯
time streaming architectures, to support advanced analytics, AI, and business intelligence use cases. Proven experience in designing architectures for structured, semi-structured, and unstructured data , leveraging technologies like Databricks, Snowflake, Apache Kafka , and Delta Lake to enable seamless data processing and analytics. Hands-on experience in data integration , including designing and optimising data pipelines (batch and streaming) and integrating cloud More ❯
or Azure equivalents (e.g., ADF, Synapse, Fabric, Azure Functions). Familiarity with Palantir Foundry or Gotham is a significant advantage. Experience working within Data Lakehouse platforms such as Databricks, Snowflake, and/or Microsoft Fabric is strongly preferred. Core Competencies Deep practical understanding of at least one major cloud provider (AWS or Azure). Strong analytical and problem-solving skills More ❯
or Azure equivalents (e.g., ADF, Synapse, Fabric, Azure Functions). Familiarity with Palantir Foundry or Gotham is a significant advantage. Experience working within Data Lakehouse platforms such as Databricks, Snowflake, and/or Microsoft Fabric is strongly preferred. Core Competencies Deep practical understanding of at least one major cloud provider (AWS or Azure). Strong analytical and problem-solving skills More ❯
Strong expertise in SQL, NoSQL and data integration technologies. Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud. Experience with data warehousing technologies such as Snowflake, Redshift, BigQuery, Synapse, or Teradata. Skilled in ETL/ELT tools and data pipeline technologies such as Informatica, Talend, Databricks, or Apache tools. Strong understanding of data governance, MDM, metadata More ❯
monitoring in Databricks CICD Knowledge of DevOps practices for data pipelines Certifications: Azure Data Engineer or Azure Solutions Architect certifications Skills Mandatory Skills: Python for DATA,Java,Python,Scala,Snowflake,Azure BLOB,Azure Data Factory, Azure Functions, Azure SQL, Azure Synapse Analytics, AZURE DATA LAKE,ANSI-SQL,Databricks,HDInsight If you're excited about this role then we would like More ❯
London, South East, England, United Kingdom Hybrid/Remote Options
Randstad Technologies
monitoring in Databricks CICD Knowledge of DevOps practices for data pipelines Certifications: Azure Data Engineer or Azure Solutions Architect certifications Skills Mandatory Skills: Python for DATA,Java,Python,Scala,Snowflake,Azure BLOB,Azure Data Factory, Azure Functions, Azure SQL, Azure Synapse Analytics, AZURE DATA LAKE,ANSI-SQL,Databricks,HDInsight If you're excited about this role then we would like More ❯
automation and best practices across EMEA. Translate business requirements into functional and technical designs. Ensure compliance with SDLC, governance, and risk policies. Skills & Experience - Essential Strong SQL Server or Snowflake skills. Advanced knowledge of low-code/no-code data engineering/ETL tools - ideally Markit EDM (v19.2+) or similar (e.g. Informatica). Proven delivery experience in Financial Services/ More ❯
automation and best practices across EMEA. Translate business requirements into functional and technical designs. Ensure compliance with SDLC, governance, and risk policies. Skills & Experience - Essential Strong SQL Server or Snowflake skills. Advanced knowledge of low-code/no-code data engineering/ETL tools - ideally Markit EDM (v19.2+) or similar (e.g. Informatica). Proven delivery experience in Financial Services/ More ❯
and SQL . Hands-on experience with data orchestration tools (Airflow, dbt, Dagster, or Prefect). Solid understanding of cloud data platforms (AWS, GCP, or Azure) and data warehousing (Snowflake, BigQuery, Redshift). Experience with streaming technologies (Kafka, Kinesis, or similar). Strong knowledge of data modelling, governance, and architecture best practices . Excellent leadership, communication, and stakeholder management skills. More ❯
Kent, England, United Kingdom Hybrid/Remote Options
Harnham - Data & Analytics Recruitment
stakeholder engagement - able to translate technical progress into business outcomes. Strategic thinker with a delivery mindset and the ability to influence at senior levels. Nice-to-haves: Experience with Snowflake or hybrid multi-cloud data solutions. Familiarity with banking or financial data frameworks such as BCBS239 or IRB. Background in agile delivery and infrastructure automation using Terraform or similar. Package More ❯
a collaborative environment where everyone feels supported to learn and grow. Skills & Experience We re Looking For Technical Expertise Hands-on experience with modern data stacks (e.g. Dataform, dbt, Snowflake/BigQuery/Redshift). Expert SQL skills, including advanced analytics and performance optimisation. Strong experience with BI tools (Looker, Power BI, Tableau) and data storytelling. Skilled in data modelling More ❯
AWS data services (e.g., S3, Kinesis, Glue, Redshift, Lambda, EMR) or Azure equivalents (e.g., ADF, Synapse, Fabric, Azure Functions). Experience working within Data Lakehouse platforms such as Databricks, Snowflake, and/or Microsoft Fabric is an advantage. Core Competencies Practical understanding of at least one major cloud provider (AWS or Azure). Strong analytical and problem-solving skills with More ❯
AWS data services (e.g., S3, Kinesis, Glue, Redshift, Lambda, EMR) or Azure equivalents (e.g., ADF, Synapse, Fabric, Azure Functions). Experience working within Data Lakehouse platforms such as Databricks, Snowflake, and/or Microsoft Fabric is an advantage. Core Competencies Practical understanding of at least one major cloud provider (AWS or Azure). Strong analytical and problem-solving skills with More ❯
analytics with CMS/CRM data Understanding of data governance + PII handling in analytics platforms Nice to Have: dbt (Core or Cloud) Experience with modern lakehouse stacks (Databricks, Snowflake) Background in nonprofit/charity analytics (not essential) If you've delivered Microsoft Fabric projects end-to-end and can build clean, scalable data platforms using GA4 and CMS data More ❯
