City of London, London, United Kingdom Hybrid / WFH Options
TECHNOLOGY RECWORKS LIMITED
sponsors) Knowledge and experience of the following would be advantageous: Knowledge of Enterprise Architecture Frameworks Good knowledge of Azure DevOps Pipelines Strong experience in ApacheSpark framework Previous experience in designing and delivering data warehouse and business intelligence solutions using on-premises Microsoft stack (SSIS, SSRS, SSAS) Knowledge more »
Manchester, North West, United Kingdom Hybrid / WFH Options
TECHNOLOGY RECWORKS LIMITED
sponsors) Knowledge and experience of the following would be advantageous: Knowledge of Enterprise Architecture Frameworks Good knowledge of Azure DevOps Pipelines Strong experience in ApacheSpark framework Previous experience in designing and delivering data warehouse and business intelligence solutions using on-premises Microsoft stack (SSIS, SSRS, SSAS) Knowledge more »
explain and present the findings of technical work to non-expert audiences Fluency with Python machine learning and data science packages (pandas, scikit-learn, Apache, Spark, DASK, Tensorflow, etc.) or experience with programming languages and willingness to learn Python For engineering, experience in a DevOps role, ideally in more »
as a Lead Big Data Engineer with excellent knowledge of Big Data -Excellent knowledge of Hadoop and tools such as Hbase/Hive and Spark etc -Excellent experience of ETL, data warehousing and handling a variety of data types -Very strong knowledge of database technologies such as NoSQL, Relational more »
Greater London, England, United Kingdom Hybrid / WFH Options
Oliver Bernard
of Big Data -Great understanding of Cloud e.g. Azure and or AWS -Excellent knowledge of Hadoop and tools such as Hbase/Hive and Spark etc -Excellent experience of ETL, data warehousing and handling a variety of data types -Very strong knowledge of database technologies such as NoSQL, Relational more »
experience with Python (2+ Years) Experience working with REST Microservices Strong SQL Experience working with very large data sets. Knowledge of big data tools (Spark, Kafka etc) Experience working in finance (Preferred) Strong formal education - ideally in Computer Science If this sounds of interest, then please do not hesitate more »
ll also get exposure to Python, lots of SQL (of course) and depending on your level of experience, data stream processing tools like Kafka, Spark, etc. As this company continues to build new platforms and modernise, you’ll also be exposed to the cloud and various other modern tools more »
with JavaScript or Python Experience deploying software into the cloud and on-premise. Developing software products. Experience with EKS, Kubernetes, OpenSearch/ElasticSearch, MongoDB, Spark or NiFi. Experience with microservices architectures. Experience with AI/ML systems TO BE CONSIDERED…. Please either apply by clicking online or emailing more »
need broad expertise across various areas of the technology/software domain. Proficiency in AWS or Big Data, Hadoop or other SQL databases, Lucene, Spark, web app development (JavaScript, Node.js), Docker, Jenkins, Git, Python, or Ruby would be highly beneficial. Key Responsibilities: Meet with clients throughout the sales and more »
o 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). o Must have experience in Data Security Solutions (Identity and Access Management and Data Security Access Management) o Must more »
East London, London, United Kingdom Hybrid / WFH Options
Be Technology
systems. Deep knowledge of distributed and scalable systems, including proficiency with PostgreSQL, Ray, RabbitMQ, and Cassandra. Familiarity with big data technologies such as Hadoop, Spark, or Kafka . Experience with CI/CD Strong problem-solving skills and the ability to troubleshoot complex issues in distributed systems. Excellent communication more »
Cambridge, Cambridgeshire, East Anglia, United Kingdom Hybrid / WFH Options
Be Technology
Python development Deep knowledge of distributed and scalable systems, including proficiency with PostgreSQL, RabbitMQ, and Cassandra. Familiarity with big data technologies such as Hadoop, Spark, or Kafka . Strong problem-solving skills and the ability to troubleshoot complex issues in distributed systems. Excellent communication and collaboration skills, with the more »
an Architect and excellent knowledge of Big Data -Excellence experience across Azure -Excellent knowledge of Hadoop and tools such as Hbase/Hive and Spark etc -Excellent experience of ETL, data warehousing and handling a variety of data types -Very strong knowledge of database technologies such as NoSQL, Relational more »
Greater London, England, United Kingdom Hybrid / WFH Options
Oliver Bernard
an Architect and excellent knowledge of Big Data -Excellence experience across Azure -Excellent knowledge of Hadoop and tools such as Hbase/Hive and Spark etc -Excellent experience of ETL, data warehousing and handling a variety of data types -Very strong knowledge of database technologies such as NoSQL, Relational more »
for business improvements Lead a small team of data scientist on Neural Networks LLMs (CNN & RNN), ML, & NLP NLP/AI/ML/Spark/Python/Data scientist/Machine Learning Engineer/OCR/Deep Learning Requirements Bachelor's degree or equivalent experience in quantitative field 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 »
complex issues they are facing. out data-driven analysis, craft solutions to resolve business problems. Artificial Intelligence and data science approaches (Python, R, Matlab, Spark etc). database technologies such as Hadoop. tools that expand the companies tool kit, advancing their ability to serve clients. Experience needed in a more »
Birmingham, England, United Kingdom Hybrid / WFH Options
Xpertise Recruitment
using the tech you think is required! Skills desired/what you will learn: Microsoft Azure Azure SQL Microsoft Fabric Delta Lake, Databricks and Spark Statistical Modelling Azure ML Studio Python and familiarity with libraries and frameworks for data analysis and machine learning (e.g., TensorFlow, sci-kit-learn, Pandas more »
complex issues they are facing. out data-driven analysis, craft solutions to resolve business problems. Artificial Intelligence and data science approaches (Python, R, Matlab, Spark etc). database technologies such as Hadoop. tools that expand the companies tool kit, advancing their ability to serve clients. Experience needed- in a more »
EXPERIENCE: Experience using JavaScript or Python Experience deploying software into the cloud and on-premise Developing software products EKS, Kubernetes, OpenSearch/ElasticSearch, MongoDB, Spark or NiFi Experience with microservices architecture Experience with AI/ML systems TO BE CONSIDERED…. Please either apply by clicking online or emailing more »
of databases. Snowflake is widely used, as are Docker and Kubernetes for containerisation. ETL and ELT tech are also used every day, primarily Airflow, Spark, Hive and a lot more. You’ll need to come from a strong academic background with some commercial experience in a data heavy software more »
reports. 7. Knowledge of data integration techniques and tools (e.g., SSIS, Informatica) is desirable. 8. Experience in working with big data technologies (e.g., Hadoop, Spark) is a plus. 9. Excellent communication and collaboration skills, with the ability to effectively interact with technical and non-technical stakeholders. 10. Strong attention more »
Redshift, DynamoDB, Glue and SageMaker Infrastructure-as-Code tools and approaches (we use the AWS CDK with CloudFormation) Data processing frameworks such as pandas, Spark and PySpark Machine learning concepts like model training, model registry, model deployment and monitoring Development and CI/CD tools (we use GitHub, CodePipeline more »
ML Engine , Azure Data Lake , Azure Databricks or GCP Cloud Dataproc . Familiarity with big data technologies and distributed computing frameworks, such as Hadoop, Spark, or Apache Flink. Experience scaling an “API-Ecosystem ”, designing, and implementing “API-First” integration patterns. Experience working with authentication and authorisation protocols/ more »
in Python, R, and SQL. Extensive experience (over 5 years) in building Machine Learning models. Understanding of underlying data systems like Cloud architectures, K8S, Spark, and SQL. Fluency in English and German, with French being a plus. Desirable experience in Consulting or Customer-facing Data Science roles, Data Engineering more »
