skills. Preferred Qualifications Strong communication skills and demonstrated ability to engage with business stakeholders and product teams. Experience in data modeling , data warehousing (e.g., Snowflake , AWS Glue , EMR , Apache Spark ), and working with data pipelines . Leadership experience—whether technical mentorship, team leadership, or managing critical projects. Familiarity with Infrastructure More ❯
Experience Degree (BSc, MSc, or PhD) in Computer Science, Mathematics, or a related field. Familiarity with alternative cloud and data platforms such as Databricks, Snowflake, Azure, or AWS. Knowledge of DevOps/DataOps methodologies and experience with CI/CD pipelines. Understanding of monitoring, logging, and troubleshooting in cloud-based More ❯
data pipelines, models and maintaining Data Warehouses for reporting and analytics. Strong skills in SQL, Python, problem-solving and data analysis. Deep Experience with Snowflake and AWS Deep Experience with dbt. Excellent communication and collaboration skills. An eagerness to learn and collaborate with others, learn quickly and able to work More ❯
total experience in DWBI, Big Data, Cloud Technologies Implementation experience and hands on experience in either of the 2 Cloud technologies – Azure, AWS, GCP, Snowflake, Databricks Must Have Hands on experience on at least 2 Hyperscalers (GCP/AWS/Azure platforms) and specifically in Big Data processing services (Apache More ❯
Reading, England, United Kingdom Hybrid / WFH Options
Bottomline
data pipelines, data warehouse schemas, tables, views, and external tables. You will ideally leverage tools such as Talend, AWS S3, Python, Java, PowerBI, and Snowflake to ensure seamless data integration and accessibility. How you’ll contribute: Collaborate with stakeholders to gather and analyze data requirements for reporting and analytics. Design More ❯
Code (IaC) and delivering data platform projects in iterative cycles. Non-Microsoft Data Tools – Exposure to or hands-on experience with tools such as Snowflake, Databricks or AWS Redshift Cross-Platform Reporting Tools – Knowledge of BI tools beyond Power BI, such as Tableau or Qlik, for comparative understanding or hybrid More ❯
Reading, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
of migration strategies, standards, and processes. Provide mentorship and technical leadership to team members. Extensive experience as an Oracle DBA/Data Engineering Strong Snowflake, Databricks experience Exposure to Exadata Strong knowledge of Oracle Database architecture, tools, and performance tuning techniques. Proven track record with data migration methodologies and execution. More ❯
modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership estimation and managing More ❯
Code (IaC) and delivering data platform projects in iterative cycles. Non-Microsoft Data Tools – Exposure to or hands-on experience with tools such as Snowflake, Databricks or AWS Redshift Cross-Platform Reporting Tools – Knowledge of BI tools beyond Power BI, such as Tableau or Qlik, for comparative understanding or hybrid More ❯
join their team and assist with the continued scaling and optimisation of these projects. Their ideal candidate would have good knowledge within: Data Warehousing (Snowflake, Redshift, BigQuery) ETL (Data Fabric, Data Mesh) DevOps (IaC, CI/CD, Containers) Consulting/Client Facing Experience In return they would be offering: Uncapped More ❯
business from its current landscape of bespoke, custom-built systems to more modern, streamlined solutions - such as the implementation of ServiceNow and a new Snowflake data warehouse. Due to the technical nature of the role, a strong understanding of data structures and data modelling is key, and hands-on skills More ❯
RAG, APIs, and real-time data integration Strong background in working with cloud platforms (GCP, AWS, Azure) and big data technologies (e.g., Kafka, Spark, Snowflake, Databricks) Demonstrated ability to work across matrixed organizations and partner effectively with IT, security, and business stakeholders Experience collaborating with third-party tech providers and More ❯
RAG, APIs, and real-time data integration Strong background in working with cloud platforms (GCP, AWS, Azure) and big data technologies (e.g., Kafka, Spark, Snowflake, Databricks) Demonstrated ability to work across matrixed organizations and partner effectively with IT, security, and business stakeholders Experience collaborating with third-party tech providers and More ❯
RAG, APIs, and real-time data integration Strong background in working with cloud platforms (GCP, AWS, Azure) and big data technologies (e.g., Kafka, Spark, Snowflake, Databricks) Demonstrated ability to work across matrixed organizations and partner effectively with IT, security, and business stakeholders Experience collaborating with third-party tech providers and More ❯
A supportive environment that encourages growth and innovation What we’re looking for: 5+ years of experience in data analytics with advanced SQL skills (Snowflake, BigQuery, etc.) Strong experience with BI tools – ideally Looker (LookML a definite plus) Excellent communication skills and the confidence to engage with cross-functional teams More ❯
Reading, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
to build and communicate complex solutions to stakeholders across different levels and disciplines. Proficiency working with modern cloud-based tools (e.g., Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive modelling, pattern recognition, and optimisation. Strong stakeholder management and product ownership skills. Experience with More ❯
Reading, England, United Kingdom Hybrid / WFH Options
JR United Kingdom
skills Bachelor’s degree in Data Science, Statistics, Mathematics, or related discipline Proactive, collaborative mindset with a continuous improvement ethos Familiarity with tools like Snowflake, SharePoint, and AWS (desirable) What’s In It For You? 25 Days Holiday + Bank Holidays + Holiday Buy Scheme Annual bonus 20% discount on More ❯
and the ability to juggle multiple priorities You’ll stand out if you’ve worked with: SQL (Stored Procedures, SSMS), SSIS Cloud technologies like Snowflake and AWS Glue REST APIs and data integration strategies Campaign platforms like Acoustic, DotDigital, Salesforce Marketing Cloud Analytics and automation platforms such as Apteco Reporting More ❯
technical and non-technical stakeholders with confidence. A hands-on, delivery-focused approach – this role is about getting things done. Experience with AZURE, AWS, Snowflake, or legacy data warehouse platforms. Knowledge of data governance or architecture principles. We are looking to move quickly on this one. Please send your profile More ❯
to ensure adherence to data privacy regulations (e.g., GDPR) and internal governance standards. Lead evaluation and integration of data tools, platforms, and technologies (e.g., Snowflake, Databricks, Azure Synapse, Kafka, dbt, Power BI). Oversee data integration strategy across the enterprise-including ETL/ELT pipelines, APIs, and event-driven data … familiarity with data warehousing, data lake/lakehouse architectures, and cloud-native analytics platforms. Hands-on experience with SQL and cloud data platforms (e.g., Snowflake, Azure, AWS Redshift, GCP BigQuery). Experience with BI/analytics tools (e.g., Power BI, Tableau) and data visualization best practices. Strong knowledge of data … friendly language. Ability to lead technical discussions and influence data-driven decision making across teams. Certifications such as Microsoft Certified: Azure Data Engineer Associate , Snowflake Architect , or CDMP are highly desirable. Why join us? We're on a journey to become market leaders in our space - and with that comes More ❯
to ensure adherence to data privacy regulations (e.g., GDPR) and internal governance standards Lead evaluation and integration of data tools, platforms, and technologies (e.g., Snowflake, Databricks, Azure Synapse, Kafka, dbt, Power BI) Oversee data integration strategy across the enterprise—including ETL/ELT pipelines, APIs, and event-driven data streaming … familiarity with data warehousing, data lake/lakehouse architectures, and cloud-native analytics platforms Hands-on experience with SQL and cloud data platforms (e.g., Snowflake, Azure, AWS Redshift, GCP BigQuery) Experience with BI/analytics tools (e.g., Power BI, Tableau) and data visualization best practices Strong knowledge of data governance … friendly language Ability to lead technical discussions and influence data-driven decision making across teams Certifications such as Microsoft Certified: Azure Data Engineer Associate, Snowflake Architect, or CDMP are highly desirable Why join us? We’re on a journey to become market leaders in our space – and with that comes More ❯
Social network you want to login/join with: Overview: An exciting opportunity has arisen for a SQL Database Administrator to join one of the world’s leading transportation manufacturers who specialise in providing safety and securement solutions for mobility More ❯
strong benefits package and flexible working. The ideal Data Engineering Manager will come from a data engineering background and have strong knowledge in SQL, Snowflake, Microsoft Azure, Azure Data Factory and Azure DevOps. The Engineering Manager will design, improve and maintain robust data pipelines within data architecture. To be considered … robust data pipelines Strong SQL programming skills. Knowledge of other programming languages such as Python, C++ and Java beneficial Possesses a strong understanding of Snowflake - beneficial Experience managing small teams of Data Engineers Strong experience working in a cloud environment and knowledge in the following very beneficial: Microsoft Azure, Azure More ❯
end data engineering function – overseeing architecture, platform operations, integration strategy, and team leadership. You’ll shape the roadmap for data engineering initiatives across Azure, Snowflake, Kafka, and modern Lakehouse architectures, ensuring resilience, scalability, governance, and performance. Key Responsibilities: Lead the Data Engineering Function : Define and implement the data engineering strategy … across the enterprise. Platform Ownership : Own the full lifecycle of the data platform – ingestion, storage, transformation, governance, and access – with a focus on Azure, Snowflake, Kafka, and Data Lakes. Strategic Leadership : Shape the vision and roadmap for the data engineering function in line with business objectives, regulatory requirements, and technological … Proven experience as a Head of Data Engineering , Principal Data Engineer , or Lead Data Architect , managing large-scale data platform initiatives. Expertise in Azure , Snowflake , Kafka , and Data Lake technologies, with a strong grasp of modern architectural patterns (Lakehouse, Lambda, Kappa). Strong knowledge of data governance , security , and regulatory More ❯
