Greater London, England, United Kingdom Hybrid / WFH Options
Oliver Bernard
essential: -Proven experience as an Architect and excellent knowledge 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 more »
Months Location - Hybrid ( 2 days a week) JD : Experience of working with Streaming & Batch technology stack – Confluent Kafka, Mongdb , Streamsets, IBM CDC, Hive, Hadoop, API, Informatica, Airflow, and other similar technologies SME level skills and experience of designing/architecting test automation solutions, ability to creatively problem solve is more »
South East London, England, United Kingdom Hybrid / WFH Options
Oliver Bernard
essential:-Proven experience as an Architect and excellent knowledge 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 more »
wider function. The core skillset: Object Oriented Python for building software & APIs (they also use Trino & Kong) Experience with Airflow or other orchestration tools (Hadoop, CloudComposer, Dagster etc) Demonstrable cloud experience developing in AWS (preferable), GCP, or Azure Experience of developing real-time streaming workloads – Kafka, Kinesis, PubSub, Flink more »
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 M years more »
requiring data analysis and visual support. Skills: Experienced in either programming languages such as Python and/or R, big data tools such as Hadoop, or data visualization tools such as Tableau. Strong SQL proficiency required. The ability to communicate effectively in writing, including conveying complex information and promoting more »
in computer science, Mathematics, Statistics or similar engineering discipline. Working knowledge of Linux. Knowledge of network protocols and operation. Data analysis and visualization in Hadoop, Splunk. Data manipulation using tools like MapReduce or SQL. Experience with network security products and solutions. HTML, CSS and Javascript experience. Python. If you more »
and analytical abilities. Preferred Skills: Experience with cloud databases (e.g., AWS, Azure, Google Cloud Platform). Knowledge of big data tools and frameworks (e.g., Hadoop, Spark). Certification in database management (e.g., Microsoft Certified: Azure Data Engineer Associate). What We Offer: Competitive salary and comprehensive benefits package. Opportunity more »
within a typical retail trading environment is key. Experience required: A background in leveraging hands on skills using tools such as Python, R, Spark, Hadoop, SQL and cloud based platforms such as GCP, Azure and AWS to manipulate and analyse various data sets in large volumes Background in data more »
level within a typical retail trading environment is key.Experience required:A background in leveraging hands on skills using tools such as Python, R, Spark, Hadoop, SQL and cloud based platforms such as GCP, Azure and AWS to manipulate and analyse various data sets in large volumesBackground in data science more »
on experience with analytic tools like R & Python; & visualization tools like Tableau & Power BI Exposure to cloud platforms and big data systems such as Hadoop HDFS, and Hive is a plus Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes Graduate 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 »
East London, London, United Kingdom Hybrid / WFH Options
Be Technology
scalable 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 more »
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 (Databricks more »
Engineering experienceDemostrate 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 conceptsDemonstrate In-depth knowledge of large-scale data platforms (Databricks, Snowflake more »
best of breed Java toolsets - focused on MicroServices Architectures, powerful front- and backend frameworks, RESTful services, and everything from NoSQL databases like MongoDB and Hadoop, high-performance data grids like HazelCast to multi-node relational systems. You will be working in a Scrum Team of cross-functional skills in more »
best of breed Java toolsets - focused on MicroServices Architectures, powerful front- and backend frameworks, RESTful services, and everything from NoSQL databases like MongoDB and Hadoop, high-performance data grids like HazelCast to multi-node relational systems. You will be working in a Scrum Team of cross-functional skills in more »
QualificationsFinancial Services or Pharmaceutical industry experienceExperience in distributed system designExperience with Pure/AlloyWorking knowledge of open-source tools such as AWS lambda, PrometheusSpark, Hadoop orSnowflake knowledge would be a plus.Additional InformationLocation: This role can be delivered in a hybrid nature from one of these offices Dublin, Belfast, Birmingham more »
to 10 years' IT Architecture experience working in a software development, technical project management, digital delivery, or technology consulting environment • Platform implementation experience (ApacheHadoop - Kafka - Storm and Spark, Elasticsearch and others) • Experience around data integration & migration, data governance, data mining, data visualisation, database modelling in an agile delivery more »
Monitoring utilising products such as: Prometheus, Grafana, ELK, filebeat etc. Observability - SRE Big Data solutions (ecosystems) and technologies such as: Apache Spark and the Hadoop Ecosystem Edge technologies eg NGINX, HAProxy etc. Excellent knowledge of YAML or similar languages Desirable Requirements: Jupyter Hub Awareness Minio or similar S3 storage more »
The following skills/experience is essential: -Proven experience 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 more »
Greater London, England, United Kingdom Hybrid / WFH Options
Oliver Bernard
following skills/experience is essential: -Proven experience as 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 more »
South East London, England, United Kingdom Hybrid / WFH Options
Oliver Bernard
extensibility.The following skills/experience is essential:-Proven experience 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 more »
South East London, England, United Kingdom Hybrid / WFH Options
Oliver Bernard
following skills/experience is essential:-Proven experience as 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 more »
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+ years more »