Azure Event Hubs ) Solid understanding of SQL , data modelling , and lakehouse architecture Experience deploying via CI/CD tools (e.g., Azure DevOps, GitHub Actions) Nice to Have: Knowledge of Scala/Java Understanding of GDPR and handling sensitive data This is a contract role (UK-based) offering the chance to work on high-impact projects shaping the future of finance More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Noir
Data Engineer - Investment Banking - London/Hybrid (Data Engineer, SQL Data Engineer, Java, Python, Spark, Scala, SQL, Snowflake, OO programming, Snowflake, Databricks, Data Fabric, design patterns, SOLID principles, ETL, Unit testing, NUnit, MSTest, Junit, Microservices Architecture, Continuous Integration, Azure DevOps, AWS, Jenkins, Agile, Data Engineer, SQL Data Engineer) We have several fantastic new roles including a Data Engineer position to More ❯
Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
Arm Limited
re solving for reliability, compliance, performance, and speed - at once. You'll be key to making it work. Required Skills: Knowledge of one or more programming languages (Java/Scala, TypeScript, Python). Validated experience operating distributed systems at scale in production. Cloud AWS (primary), Kubernetes (future), Docker (current), Terraform. Excellent debugging skills across network, systems, and data stack. Observability More ❯
platforms, preferably with GCP expertise. Deep knowledge of cloud architecture, data engineering, pipelines, and big data technologies (e.g., BigQuery, Dataflow, Pub/Sub). Proficiency in Python, Java, or Scala; familiarity with microservices, Docker, Kubernetes, CI/CD tools (e.g., Jenkins, GitLab CI), and cloud monitoring. Proven experience in digital transformation and Agile environments. Preferred understanding of banking risk management More ❯
in motivated teams, collaborating effectively and taking pride in your work. Strong problem-solving skills, viewing technology as a means to solve challenges. Proficiency in a programming language (e.g., Scala, Python, Java, C#) with understanding of domain modelling and application development. Knowledge of data management platforms (SQL, NoSQL, Spark/Databricks). Experience with modern engineering tools (Git, CI/ More ❯
platforms, preferably with GCP expertise. Deep knowledge of cloud architecture, data engineering, pipelines, and big data technologies (e.g., BigQuery, Dataflow, Pub/Sub). Proficiency in Python, Java, or Scala; familiarity with microservices, Docker, Kubernetes, CI/CD tools (e.g., Jenkins, GitLab CI), and cloud monitoring. Proven experience in digital transformation and Agile environments. Preferred understanding of banking risk management More ❯
understanding of various data engineering technologies including Apache Spark, Databricks and Hadoop Strong understanding of agile ways of working Up-to-date understanding of various programming languages including Python, Scala, R and SQL Up-to-date understanding of various databases and cloud-based datastores including SQL and NoSQL Up-to-date understanding of cloud platforms including AWS and/or More ❯
Position Level: Junior/Mid Position Type: Full-time (Onsite) About Intelmatix: Intelmatix is a deep tech Artificial intelligence (AI) company founded in July 2021 by a group of MIT scientists with the vision of transforming enterprises to become cognitive. More ❯
culture of innovation and challenge. We have over 300 tech experts across our teams all using the latest tools and technologies including Astro, Cloudflare, Docker, Kubernetes, AWS, Kafka, Java, Scala, Python, .Net Core, Node.js and MongoDB. Theres something for everyone . Were a place of opportunity. Youll have the tools and autonomy to drive your own career, supported by a More ❯
broad range of problems using your technical skills. Demonstrable experience of utilising strong communication and stakeholder management skills when engaging with customers Significant experience of coding in Python and Scala or Java Experience with big data processing tools such as Hadoop or Spark Cloud experience; GCP specifically in this case, including services such as Cloud Run, Cloud Functions, BigQuery, GCS More ❯
project deadlines. Strong collaborative spirit, working seamlessly with team members and external clients. Proficiency in R or Python. Solid understanding of SQL; experience working with Spark (Java, Python, or Scala variants) and cloud platforms like Databricks is a plus. Strong statistical knowledge, including hypothesis testing, confidence intervals, and A/B testing. Ability to understand and communicate the commercial impact More ❯
of performance. Your Experience Must have: 4+ years of industry experience in applied ML with recent experience in AI/LLM systems Strong proficiency with Python, and familiarity with Scala, Go, or Rust Cloud platform expertise with AWS, GCP, or Azure, including AI-specific services (SageMaker, Vertex AI, Azure AI) Databricks platform experience with Unity Catalog, MLflow, and Databricks Machine More ❯
platforms (Azure) and data engineering best practices . Advanced proficiency in Power BI , including DAX, Power Query, and data modeling. Strong programming skills in Python, SQL, and/or Scala for data processing and automation. Experience with ETL/ELT, data warehousing, and event-driven architectures . Knowledge of AI/ML applications in data analytics and business intelligence. Proven More ❯
the development of real-time and batch inference pipelines. Contributing to the scalability, efficiency, and reliability of ML infrastructure. KEY SKILLS AND REQUIREMENTS Strong experience in Python, Java, or Scala for backend development. Solid understanding of data processing and engineering workflows. Experience building APIs or services to support data or ML applications. Familiarity with ML model lifecycle and tooling (e.g. More ❯
Manchester, Lancashire, England, United Kingdom Hybrid / WFH Options
Searchability
as a Data Engineer, with Python & SQL expertise Familiarity with AWS services (or equivalent cloud platforms) Experience with large-scale datasets and ETL pipeline development Knowledge of Apache Spark (Scala or Python) beneficial Understanding of agile development practices, CI/CD, and automated testing Strong problem-solving and analytical skills Positive team player with excellent communication abilities TO BE CONSIDERED More ❯
Experience with at least one Cloud provider (AWS, Azure) and traditional Data Platforms Knowledge of high load and high throughput Data Platform architectures Hands-on experience with Python/Scala/Java and SQL development Experience with continuous delivery tools and technologies Knowledge of Serverless Designs, MPP Architectures, Containers, and Resource Management systems Ability to research, compare, and select appropriate More ❯
working knowledge of Azure Cloud Platforms, or strong transferable skills from other cloud platforms. Experience using SQL for database management essential. Proficiency in programming languages (e.g., Python, Java, or Scala) desirable. Experience with data pipeline frameworks and ETL tools and familiarity with big data technologies. Understanding of version control principles and tools essential. Knowledge of data integration tools and languages More ❯
web/mobile applications or platform with either Java/J2EE or .NET tech stack and database technologies such as Oracle, MySQL, etc. " Exposure to polyglot programming languages like Scala, Python and Golang will be a plus " Ability to read/write code and expertise with various design patterns " Have used NoSQL database such as MongoDB, Cassandra, etc. " Work on More ❯
and big data environments . Familiarity with Azure data platforms , such as Databricks, Azure Data Factory, Synapse Analytics, or ADLS . Proficiency in SQL and scripting languages (e.g., Python, Scala) for data validation and test automation. Experience with test automation frameworks (e.g., Great Expectations, DBT tests, PyTest, or similar ). Exposure to CI/CD testing within Azure DevOps, GitHub More ❯
activities We are looking for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics Practical experience in coding languages eg. Python, R, Scala, etc. (Python preferred) Strong proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies eg. pySpark, Hive, etc. Experienced working with structured and unstructured data eg. More ❯
champion a culture of innovation and challenge. We have over 300 tech experts across our teams all using the latest tools and technologies including Docker, Kubernetes, AWS, Kafka, Java, Scala, Python, .Net Core, Node.js and MongoDB. Theres something for everyone. Were a place of opportunity. Youll have the tools and autonomy to drive your own career, supported by a team More ❯
education) in a STEM discipline. Proven experience in software engineering and development, and a strong understanding of computer systems and how they operate. Hands on Experience in Java , Spark , Scala ( or Java) Production scale hands-on Experience to write Data pipelines using Spark/any other distributed real time/batch processing. Strong skill set in SQL/Databases Strong More ❯
education) in a STEM discipline. Proven experience in software engineering and development, and a strong understanding of computer systems and how they operate. Hands on Experience in Java , Spark , Scala ( or Java) Production scale hands-on Experience to write Data pipelines using Spark/any other distributed real time/batch processing. Strong skill set in SQL/Databases Strong More ❯
on products and services within their specialty domain including expertise that extends beyond the Rackspace portfolio. Knowledge modern software development practices with exposure to any language, Java, C#, Node.js, Scala, Python or GO preferred. Knowledge of building containerised applications and systems on modern container orchestration platforms. Knowledge of CI/CD pipelines with respect to serverless and container application preferred. More ❯
education) in a STEM discipline. Proven experience in software engineering and development, and a strong understanding of computer systems and how they operate. Hands on Experience in Java , Spark , Scala ( or Java) Production scale hands-on Experience to write Data pipelines using Spark/any other distributed real time/batch processing. Strong skill set in SQL/Databases Strong More ❯