London, England, United Kingdom Hybrid / WFH Options
Aventum Group
Profisee), Snowflake Data Integration, Azure Service Bus, Deltalake, BigQuery, Azure DevOps, Azure Monitor, Azure Data Factory, SQL Server, Azure DataLake Storage, Azure App Service, Apache Airflow, Apache Iceberg, Apache Spark, Apache Hudi, Apache Kafka, Power BI, BigQuery, Azure ML is a plus Experience with Azure more »
work is largely down to you. It can be entirely Back End. Otherwise, the stack includes Redux Saga, Ag-Grid, Node, TypeScript, gRPC, protobuf, Apache Ignite, Apache Airflow and AWS. As the application suite grows and advances in complexity, there is a decent amount of interaction with the more »
there is little work to do here. Experience is data-intensive applications is desirable here. Other technology in the stack includes Node, gRPC, protobuf, Apache Ignite, Apache Airflow and AWS. They have a hybrid-working set up that requires the team to be in the office more »
Greenford, London, United Kingdom Hybrid / WFH Options
Indotronix Avani UK Ltd
Java, Python, and Ruby. Experience in database design under MS SQL, MySQL, Firebird, or similar servers. Experience with web servers such as IIS and Apache, or similar servers. Experience in Web design using HTML, JSON, JavaScript, etc. Experience in API design. Degree in electronics engineering/IT - Programming or more »
to production, providing subject matter expertise on the .Net stack and contributing to technical design discussions. You'll use a range of technology including Apache Flink with Java for large scale data processing and will be able to assess and recommend new and emerging technologies, using the best tool more »
Terraform/Docker/Kubernetes. Write software using either Java/Scala/Python . The following are nice to have, but not required - Apache Spark jobs and pipelines. Experience with any functional programming language. Database design concepts. Writing and analysing SQL queries. Application overVIOOH Our recruitment team will more »
Flask, Tornado 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 more »
London, England, United Kingdom Hybrid / WFH Options
McGregor Boyall
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 Management: Handle SQL databases like Oracle, MySQL, or PostgreSQL. Data Governance: Ensure data quality, security, and compliance with best practices. Ideal Candidate more »
Greater London, England, United Kingdom Hybrid / WFH Options
Understanding Recruitment
use Java (for a very small amount of scripting work) Have public cloud experience with AWS or other cloud providers Have an understanding of Apache products such as Kafka and Flake Good knowledge of development using CI/CD Bonus points if you knowledge of: Web products Financial markets more »
the following: - Experience of working in an Agile product delivery framework - Experience with PHP 8+ and the Laravel framework - Experience with Linux, NGINX (or Apache), MySQL server. LEMP/LAMP stack. - Experience of writing unit tests with test frameworks (PHPUnit, Codeception, etc.) Although we have a dedicated QA Test more »
Employment Type: Permanent
Salary: £55000 - £65000/annum Up to £65K Basic + Benefits package
the following: - Experience of working in an Agile product delivery framework - Experience with PHP 8+ and the Laravel framework - Experience with Linux, NGINX (or Apache), MySQL server. LEMP/LAMP stack. - Experience of writing unit tests with test frameworks (PHPUnit, Codeception, etc.) Although we have a dedicated QA Test more »
Employment Type: Permanent
Salary: £70000 - £80000/annum Up to £80K Basic + Benefits package
for seamless data integration. * Understanding of DevOps best practices for SQL and Power BI projects, including DACPAC, CI/CD, and versioning. * Familiarity with Apache Spark for big data processing. * Additional development experience in Python or related technologies. * Experience gained within a Media, Travel or Broadcast Media sectors would more »
Employment Type: Permanent
Salary: £65000 - £70000/annum Hybrid, Health, Dental, Extra Hols
experience in data engineering. Experienced in building ETL data pipelines. Relational database experience w/PostgreSQL. Understanding of tech within our stack: AWS/Apache beam/Kafka. Experience with Object Orientated Programming A desire to work in the commodities/trading sector. Permanent/Full-Time Employment. Hybrid more »
testing, and maintenance of data pipelines and data storage systems on Google Cloud Platform (GCP). You will be working with technologies such as Apache Airflow, BigQuery, Python, and SQL to transform and load large data sets, ensuring high data quality and accessibility for business intelligence and analytics purposes. more »
in Computer Science, Engineering (or other related STEM subject) 5+ years experience in data engineering 2+ years in a leadership role. Experience working with Apache Spark, Azure Data Factory and other data pipelines tools. Strong programming skills. Impeccable communication skills. Precise attention to detail. Pioneering attitude. If you are more »
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 Apache Spark framework Previous experience in designing and delivering data warehouse and business intelligence solutions using on-premises Microsoft stack (SSIS, SSRS, SSAS) Knowledge of more »
teams to support the orchestration of our ETL pipelines using Airflow and manage our tech stack including Python, Next.js, Airflow, PostgreSQL MongoDB, Kafka and Apache Iceberg. Optimize infrastructure costs and develop strategies for efficient resource utilization. Provide critical support by monitoring services and quickly resolving production issues. Contribute to more »
