1 to 25 of 1,359 Permanent Scala Jobs in the UK

Ability to write clean, scalable, maintainable code in Python with a good understanding of software engineering concepts and patterns. Proficiency in other languages like Scala, Java, C#, C++ are an advantage. Proven record of building and maintaining data pipelines deployed in at least one of the big 3 cloud ML More ❯

big data processing Strong knowledge of open banking frameworks, protocols, and APIs (e.g. Open Banking UK, PSD2) Proficiency in programming languages such as Python, Scala, or Java Experience with cloud data platforms such as GCP (BigQuery, Dataflow) or Azure (Data Factory, Synapse) Expert in SQL, MongoDB and distributed data systems More ❯

using python or similar programming languages. Background in software engineering a plus. DESIRABLE LANGUAGES/TOOLS Proficiency in programming languages such as Python, Java, Scala, or SQL for data manipulation and scripting. Strong understanding of data modelling concepts and techniques, including relational and dimensional modelling. Experience in big data technologies More ❯

Experience with cloud-based data platforms (AWS, Azure, GCP) Proficiency in data orchestration tools (Airflow, Prefect, Dagster, or similar) Solid programming skills in Python, Scala, or Java Experience integrating ML workflows into production data systems Strong understanding of data modeling, ETL processes, and database design Demonstrated ability to architect solutions More ❯

tools. Deep understanding of DevOps principles, data warehousing, data modeling, and data integration patterns. Proficient in one or more programming languages such as Python, Scala, or Java, alongside SQL and NoSQL database experience. Knowledge of data quality assurance techniques and governance frameworks. Excellent analytical, problem-solving, and communication skills. Desirable More ❯

Python, R, and Java. Experience in building modern data pipelines and ETL processes with tools like Apache Kafka and Apache Nifi. Proficiency in Java, Scala, or Python programming. Experience managing or testing API Gateway tools and Rest APIs. Knowledge of traditional databases like Oracle, MySQL, etc., and modern data management More ❯

and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. More ❯

and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. More ❯

and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. More ❯

and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. More ❯

and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. More ❯

and cost-effectiveness. Implement data quality checks and validation rules within data pipelines. Data Transformation & Processing: Implement complex data transformations using Spark (PySpark or Scala) and other relevant technologies. Develop and maintain data processing logic for cleaning, enriching, and aggregating data. Ensure data consistency and accuracy throughout the data lifecycle. More ❯

warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure) Programming skills in Python, Java, or Scala, with automation and scripting experience Experience with containerization and orchestration tools like Docker and Kubernetes is a plus Experience with data governance, security, and compliance More ❯

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 ❯

Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure). Ideally some programming skills in languages like Python, Java, or Scala, with experience in automation and scripting. Experience with containerization and orchestration tools like Docker and Kubernetes is a plus. Experience with data governance, data security More ❯

will too... WHAT WE NEED YOU TO HAVE EXPERIENCE IN Coding Coding/scripting experience developed in a commercial/industry setting (Python, Java, Scala or Go, and SQL). Databases & frameworks Strong experience working with Kafka technologies. Working experience with operational data stores , data warehouse , big data technologies , and More ❯

especially when facing unclear or incomplete requirements 3+ years of experience designing and implementing Snowflake solutions Expert-level SQL and strong proficiency in Python, Scala, or Java Solid experience with ETL/ELT pipelines using dbt Hands-on experience with cloud platforms (AWS, Azure, or GCP) Familiarity with orchestration tools More ❯

the most business value. Required Skills & Experience ● 3+ years of software engineering experience in backend or full-stack development. ● Proficiency in Python, Java, or Scala (experience with multiple languages is a plus). ● Experience with cloud platforms (AWS, GCP, or Azure) and distributed computing. ● Knowledge of big data technologies such More ❯

data modeling , distributed systems , streaming architectures , and ETL/ELT pipelines . Proficiency in SQL and at least one programming language such as Python , Scala , or Java . Demonstrated experience owning and delivering complex systems from architecture through implementation. Excellent communication skills with the ability to explain technical concepts to More ❯

with modern data stack components (e.g., dbt, Snowflake, Airbyte). Experience working in an Agile/Scrum environment. Knowledge of Python or Java/Scala for data engineering. Experience with version control systems (eg Git, CVS). Applicants will be required to obtain SC and therefore 5 year's UK More ❯

recommend tools to improve data engineering workflows. Documentation: Maintain detailed technical documentation for all solutions and processes. Technical Skills Programming: Proficiency in Python, Java, Scala, or similar languages. Big Data Technologies: Hands-on experience with big data tools e.g. (Databricks, Apache Spark, Hadoop). Cloud Platforms: Familiarity with AWS, Azure More ❯

bonus. Experience with designing efficient physical data models/schemas and developing ETL/ELT scripts. Strong Python and other programming skills (Spark/Scala desirable). Experience both using and building APIs. Strong SQL background. Some exposure to big data technologies (Hadoop, Spark, Presto, etc.). Works well collaboratively More ❯

experience with big data technology, systems and tools such as AWS, Hadoop, Hive, and Snowflake Expertise with common Software Engineering languages such as Python, Scala, Java, SQL and a proven ability to learn new programming languages Experience with workflow orchestration tools such as Airflow Detailed problem-solving approach, coupled with More ❯

standards. Test and validate solutions for quality assurance. Qualifications: Proven experience as a Data Engineer, especially with data pipelines. Proficiency in Python, Java, or Scala; experience with Hadoop, Spark, Kafka. Experience with Databricks, Azure AI Services, and cloud platforms (AWS, Google Cloud, Azure). Strong SQL and NoSQL database skills. More ❯

AWS or equivalent cloud technologies. Knowledge of Serverless technologies, frameworks and best practices. Experience using AWS CloudFormation or Terraform for infrastructure automation. Knowledge of Scala or OO such as Java or C#. SQL or Python development experience. High-quality coding and testing practices. Willingness to learn new technologies and methodologies. More ❯