1 to 25 of 54 Scala Jobs in the UK excluding London

and principles. Solid understanding of data warehousing data modeling and data integration principles. Proficiency in at least one scripting/programming language (e.g. Python Scala Java). Experience with SQL and NoSQL databases. Familiarity with data quality and data governance best practices. Strong analytical and problem-solving skills. Excellent communication More ❯

services Strong experience with AWS services such as S3, Glue, Lambda, Redshift, DynamoDB, and Athena Proficiency in programming languages such as Python, Java, or Scala Experience with SQL and NoSQL databases Familiarity with data warehousing concepts, ETL processes, and data modeling Knowledge of data security, governance, and compliance best practices More ❯

platform, either on Azure or AWS. Good working knowledge of Databricks components: DeltaLake, Unity Catalog, ML Flow, etc. Expertise in SQL, Python and Spark (Scala or Python). Experience working with relational SQL databases either on premises or in the cloud. Experience delivering multiple solutions using key techniques such as More ❯

in both Python and SQL It is preferred that you have experience in at least one of the following additional languages: Java, C#, C++, Scala Familiarity with Big Data technology in cloud and on-premises environments: Hadoop, HDFS, Spark, NoSQL Databases, Hive, MongoDB, Airflow, Kafka, AWS, Azure, Dockers or Snowflake More ❯

Glue, Redshift, SageMaker) or other cloud platforms. Familiarity with Docker, Terraform, GitHub Actions, and Vault for managing secrets. Proficiency in SQL, Python, Spark, or Scala to work with data. Experience with databases used in Data Warehousing, Data Lakes, and Lakehouse setups, including both structured and unstructured data. Experience in testing More ❯

Cloud experience (e.g., AWS, Google Cloud, Azure, Kubernetes) Experience with DevOps principles and tools (e.g.GitOps,Azure DevOps, GitHub Actions, GitFlow ) Programming experience in Python, Scala or Go Experience with agile software development environments using Jira and Confluence Preferred Qualifications: If you have the following characteristics, it would be a plus More ❯

Kafka, with a strong emphasis on Java development. Proficiency in data modeling, ETL processes, and data warehousing concepts. Experience with data processing languages like Scala, Python, or SQL. Familiarity with containerization technologies (Docker) and orchestration tools (Kubernetes). Strong knowledge of software development principles, including object-oriented design, design patterns More ❯

technical field or the equivalent combination of education and experience. Hands-on industry experience in software design, development, and algorithmic problem-solving. Proficiency in Scala, along with experience in at least one additional programming language. Functional programming experience is a plus. A strong focus on writing high-quality, maintainable, and More ❯

technical field or the equivalent combination of education and experience. Hands-on industry experience in software design, development, and algorithmic problem-solving. Proficiency in Scala, along with experience in at least one additional programming language. Functional programming experience is a plus. A strong focus on writing high-quality, maintainable, and More ❯

data ingestion tools like Airbyte, Fivetran, etc. for diverse data sources. Expert in large-scale data processing with Spark or Dask. Strong in Python, Scala, C# or Java, cloud SDKs and APIs. AI/ML expertise for pipeline efficiency, familiar with TensorFlow, PyTorch, AutoML, Python/R, and MLOps (MLflow More ❯

solutions. Automation: Implement automation processes and best practices to streamline data workflows and reduce manual interventions. Must have: AWS, ETL, EMR, GLUE, Spark/Scala, Java, Python. Good to have: Cloudera - Spark, Hive, Impala, HDFS, Informatica PowerCenter, Informatica DQ/DG, Snowflake Erwin. Qualifications: Bachelor's or Master's degree More ❯

EMR, RDS, Redshift. Experience with stream-processing systems: Storm, Spark-Streaming, etc. Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc. Salary: 30000 per annum + benefits Apply For This Job If you would like to apply for this position, please fill in the information More ❯

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). Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working with More ❯

similar role, with a focus on Databricks. Strong expertise in data engineering, ETL processes, and data warehousing. Proficiency in programming languages such as Python, Scala, or SQL. Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies. Excellent leadership, communication, and problem-solving skills. Ability to work independently More ❯

AWS technologies like Redshift and extracting value from large datasets Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS Experience with Apache Spark/Elastic Map Reduce Experience with continuous delivery, infrastructure as code More ❯

skills Knowledge of AWS or similar cloud platforms Experience with serverless technologies and frameworks Proficiency with AWS CloudFormation or Terraform for automation Experience with Scala or an OO language (Java, C#) SQL and Python development experience Commitment to high-quality coding and testing Experience debugging business-critical systems Role and More ❯

Technology, Mathematics, or a related discipline Proven experience of SQL and relational databases Familiarity with at least one programming language (e.g. Python, Java, or Scala) Proven experience of data warehousing concepts and ETL processes Strong analytical skills and attention to detail Excellent verbal and written communication skills in English Prior More ❯

Technology, Mathematics, or a related discipline ·Proven experience of SQL and relational databases ·Familiarity with at least one programming language (e.g. Python, Java, or Scala) ·Proven experience of data warehousing concepts and ETL processes ·Strong analytical skills and attention to detail ·Excellent verbal and written communication skills in English ·Prior More ❯

Integration and Continuous Delivery, utilizing technologies such as GIT, Maven, and Jenkins. Experience with successful design, architecture and development using Hadoop, and Spark and Scala for large data processing and transaction systems. Experience with Restful API development. Expertise in web applications and webservices, technology standards and frameworks. Experienced in test More ❯

DB, Spark, NoSQL, with performance optimization. Preferred qualifications, capabilities, and skills Experience with Spark performance tuning on large datasets. Experience delivering production changes using Scala and Spark. About the Team J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world's most prominent More ❯

tools like JMeter, Gatling, K6, Neoload, or Webload . Strong coding skills in at least one language such as Java, TypeScript JavaScript, Python, C#, , Scala, or PHP. Experience designing and building automation frameworks . Familiarity with Agile development environments (SCRUM, Kanban, TDD, BDD). Implementing pipelines using common tooling such More ❯

where applicable and adheres to published coding standards Ability to analyse, investigate and compare large data sets when required. Significant experience of programming using Scala and Python Experience of using Terraform to provision and deploy cloud services and components Experience of developing on Apache Spark Experience of developing with AWS More ❯

AI, Computer Science, Maths, Physics, or a related field. ✔ Experience as an effective researcher in academia or industry. ✔ Strong programming skills (Python, Java, or Scala). ✔ Expertise in machine learning and NLP, including deep learning applications. ✔ Agile mindset with a problem-solving approach and a passion for getting things done. More ❯

opportunities regardless of gender, race, disability, sexual orientation, religion or belief, and age. Technical References Java, Backend Engineering, Server-side development, Linux, Sybase, DB2, Scala, Servlet, multithreading, concurrency, low-latency, microservices, multi-threaded engineering techniques, data structures, interactive messaging services, CI, Continuous Improvement, Object-Oriented Analysis, Core Java, Object-Oriented More ❯

core programming concepts Comfortable multi-tasking, managing multiple stakeholders and working as part of a team Comfortable with working with multiple programming languages Technologies: Scala, Java, Python, Spark, Linux and shell scripting, TDD (JUnit), build tools (Maven/Gradle/Ant) Experience in working with process scheduling platforms like Apache More ❯