or Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands on coding experience more »
London, England, United Kingdom Hybrid / WFH Options
McGregor Boyall
models, ETL processes, and data warehousing solutions. Programming: Utilize Python, Java, Scala, or GoLang to build and optimize data pipelines. Distributed Processing: Work with Hadoop, Spark, and other platforms for large-scale data processing. Real-Time Data Streaming: Develop and manage pipelines using CDC, Kafka, and Apache Spark. Database more »
TensorFlow, PyTorch). Solid understanding of ML and data pipeline architectures and best practices. Experience with big data technologies and distributed computing (e.g., Spark, Hadoop) is a plus. Proficient in SQL and experience with relational databases. Strong analytical and problem-solving skills, with a keen attention to detail. Knowledge more »
such as TensorFlow, PyTorch, or Scikit-learn. Strong knowledge of statistical modelling, data mining, and data visualization techniques. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure). Strong problem-solving skills and the ability to think critically and creatively. Excellent analytical skills more »
London, England, United Kingdom Hybrid / WFH Options
Anson McCade
and NoSQL databases • Programming languages such as Spark or Python • Amazon Web Services, Microsoft Azure or Google Cloud and distributed processing technologies such as Hadoop Benefits : • Base Salary: £45,000 - £75,000 (DoE) • Discretionary Bonus: Circa 10% per annum • DV Bonus: Circa £5,000 • Flex Fund: £5000 • Health: Private more »
Key Skills 3+ years of Python experience Highly statistical and Analytical Exposure to Google Cloud Platform ( BigQuery, GCS, Datalab, Dataproc, Cloud ML (desirable) Spark & Hadoop experience Strong communication skills Good problem solving skills Qualifications Bachelor's degree or equivalent experience in a quantative field (Statistics, Mathematics, Computer Science, Engineering … and 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) This is a permanent position, and offers flexibility with Hybrid working, 2-3 days per week in the office, depending on workload more »
junior members of the team and influencing them with your vision. Our tech stacks vary between products (such as OracleDB, MongoDB, Elastic Search and Hadoop for data storage and a mixture of commercial-off-the-shelf products and custom applications. We embrace a DevSecOps (Development, Security, and operations) mindset more »
London, England, United Kingdom Hybrid / WFH Options
Global Relay
Bitbucket, Maven, Helm Instrumentation and monitoring: Splunk, Prometheus, Grafana, Elk Languages and frameworks: Bash, Java, Groovy, Go, Python, React Big data technologies: Cassandra, ArangoDB, Hadoop, Kafka, MongoDB, minIO, Ceph About You: You have an automation-first mindset. You enjoy sharing your knowledge and have a thirst for expanding your more »
instrumental in ensuring the security and efficiency of the data handling and reporting processes. Key Responsibilities: Data Processing: Utilize Apache Spark, AWS RDS, and Hadoop to process large datasets efficiently and securely. Reporting: Generate comprehensive and insightful reports using Tableau. Business Rules Management: Implement and manage business rules with more »
following: .NET (VB, C#, ASP.NET, .NET CORE) MVC Framework Python JavaScript (REACT, Bootstrap Frameworks) Database design SQL/SQL Server NoSQL technologies e.g., MongoDB, Hadoop, etc. If you’re the right person for the role, you’ll bring experience of working on a range of applications across the development more »
