Modelling. Experience with at least one or more of these programming languages: Python, Scala/Java Experience with distributed data and computing tools, mainly ApacheSpark & Kafka Understanding of critical path approaches, how to iterate to build value, engaging with stakeholders actively at all stages. Able to deal more »
with Git for version control and project management, alongside some knowledge of Linux/Shell. data platform familiarity - previous experience of working with both ApacheSpark and MapReduce data processing and analytics frameworks. and reporting expertise - experience with Tableau, Power BI, Excel alongside notebooks for experiment documentation. What more »
APIs Messaging systems Python Java Databases and SQL Data warehousing Data modeling Data governance Cloud platforms and services (e.g., AWS) Big data technologies (e.g., Spark, Kafka) Continuous Data Integrity/Testing platforms If you are looking for a new path where you get to work on some amazing projects more »
Platforms Must have 8+ years' Experience with Relational Databases like Oracle, NoSQL Databases and/or Big Data technologies (e.g. Oracle, SQL Server, Postgres, Spark, Hadoop, other Open Source). Must have experience in Data Security Solutions (Identity and Access Management and Data Security Access Management) Must have 3+ more »
Engineer, with expertise developing scalable data pipelines. Strong object oriented programming skills, particularly in Python . Experience with data lakes and data warehousing solutions ( Spark, Dataflow, BigQuery ). Knowledge of SQL and experience with relational databases, as well as NoSQL databases Familiarity with cloud services (preferably GCP ) and understanding more »
Engineering experience Demostrate In-depth knowledge of large-scale data platforms (Databricks, Snowflake) and cloud-native tools (Azure Synapse, RedShift) Experience of analytics technologies (Spark, Hadoop, Kafka) Have familiarity with Data Lakehouse architecture, SQL Server, DataOps, and data lineage concepts Demonstrate In-depth knowledge of large-scale data platforms more »
South East London, London, United Kingdom Hybrid / WFH Options
Stepstone UK
Bachelor's degree in Computer Science or a related field (Master's degree preferred) Nice to have: experience with LLMs, Vector Databases, AWS EMR, Spark, and Python Our commitment: Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to our more »
CI/CD/YAML/ARM/Terraform MSBI Traditional Stack (SQL, SSAS, SSIS, SSRS) Azure Automation/PowerShell Azure Streaming Analytics/Spark Streaming Azure Functions/C# .NET PowerApps Data Science Master Data Management/MDS WHY ADATIS? There’s a long list of reasons, from more »
Reigate, England, United Kingdom Hybrid / WFH Options
esure Group
of OO programming, software design, i.e., SOLID principles, and testing practices. Knowledge and working experience of AGILE methodologies. Proficient with SQL. Familiarity with Databricks, Spark, geospatial data/modelling and insurance are a plus. Exposure to MLOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow more »
an Azure Solution Architect in Microsoft Data and AI. Extensive, hands-on, current experience in Azure data and AI technologies, like Fabric, Synapse, Databricks, Spark, Python, GitHub, Data Factory, Azure Data Lake, Power BI, Cognitive Services, Purview, etc. Strong data analysis and modeling skills. High-level understanding of Azure more »
model training, evaluation, and productionization. - Strong programming skills in Python, with proficiency in ML frameworks (e.g., TensorFlow, PyTorch) and data engineering tools (e.g., Kafka, Spark). - Expertise in cloud computing platforms (AWS, Azure) and containerization technologies (Docker) for scalable and reliable ML model deployment. - Solid understanding of data privacy more »
DevOps/Agile Experience of managing environments using IAC (Terraform API's) Experience of designing robust, secured and compliant platform Capabilities. Strong understanding of ApacheSpark including its architecture, components & how to create, monitor, optimize & scale spark jobs. more »
Especially MS Azure is recommended as Microsoft Fabric is integrated within Azure services. Experience of designing robust , secure and compliant capabilities. Strong understanding of ApacheSpark, Including its Architecture , Components, and how to create, Monitor, Optimize, and Scale Spark Jobs. Experienced working in a DevOps/Agile more »
Microsoft Azure, is recommended as Microsoft Fabric is integrated with Azure services Experience of designing robust, secure and compliant platform capabilities Strong understanding of ApacheSpark, including its architecture, components, and how to create, monitor, optimize, and scale Spark jobs. Experience of working in an DevOps/ more »
objectives. So each team leverages the technology that fits their needs best. You’ll see us working with data processing/streaming frameworks like Apache Flink and Spark; Database technologies like MySQL, PostgreSQL, DynamoDB and Redis; and breaking things using in-house chaos principles and tools such as … latency, near real-time products: Java and Scala based Web Services, Databricks Data Lakes (Delta Lakes), AWS Kinesis and MSK, AWS ElasticSearch, AWS RDS, Apache Flink & Spark, scripting using Python, Terraform’s infrastructure as a code. The interview process Our interview aims to take a relaxed & practical approach more »
Basingstoke, England, United Kingdom Hybrid / WFH Options
Intec Select
cross-functionally across the business to understand the requirements of the products Designing and implementing performance related data ingestion pipelines from multiple sources using ApacheSpark Integrating end-to-end data pipelines ensuring a high level of quality is maintained Working with an Agile delivery/DevOps methodology more »
and classification techniques, and algorithms Fluency in a programming language (Python, C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau more »
classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau more »
classification techniques, and algorithms Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau more »
language, ideally Python but can also be Java or C/c++ SQL expeirence Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau) Get in touch with Ella Alcott - Ella@engagewithus.com more »
quality of data. Key Requirements: Strong experience designing data pipelines/warehouses using AWS and Snowflake. Exposure to big data technologies such as Kafka, Spark, or Hadoop. Solid experience with Snowflake, including performance optimisation and cost management. Strong experience with SQL and Data modelling. Excellent understanding of AWS architecture more »
Surrey, England, United Kingdom Hybrid / WFH Options
Hawksworth
working in the world of Data Science You're more than capable with SQL & Python You have exposure to big data technologies such as Spark Ideally you will have experience with statistical analysis, machine learning algorithms, and data mining techniques You have excellent communication skills and can communicate well more »
ownership • Python, Java or similar (Ruby or Node) or another Functional Language • JavaScript and associated frameworks, preferably Vue, or similar • Cloud technologies • SQL (advantageous) • Spark (advantageous) • Docker/Kubernetes – advantageous ) • MongoDB, SQL, Postgres & Snowflake (advantageous) • Developing online, cloud based SaaS products. • Leading and building scalable architectures and distributed systems more »
dynamic. Knowledge and understanding of OTC products (Interest Rate Swaps, Variance Swaps, CDS, etc.) bookings. Familiarity with C++ and Big Data tools such as Spark, Kafka, Elastic. Join us and be part of a team that values innovation, collaboration, and excellence. Take your career to new heights with a more »
multiple tasks and projects simultaneously. Preferred Qualifications AWS Certified Solutions Architect or other relevant AWS certifications. Experience with big data technologies such as Hadoop, Spark, or similar. Knowledge of data governance and data quality best practices. Familiarity with machine learning and AI concepts and tools. more »
