1 to 25 of 909 Scala Jobs in England

frameworks and practices. Understanding of machine learning workflows and how to support them with robust data pipelines. 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 and frameworks such as Databricks More ❯

Engineering in data related areas. 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 stacks (AWS, Azure, GCP). More ❯

write clean, scalable, robust code 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 and frameworks such as Databricks More ❯

focus on data mining and 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 such as Spark, Databricks or More ❯

focus on data mining and 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 such as Spark, Databricks or More ❯

computing frameworks (Spark, Hadoop ecosystem) 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 for big data challenges Preferred More ❯

familiarity with Jenkins or similar 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: Experience with containerization technologies (Docker More ❯

data pipelines for performance, efficiency, 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. Azure Databricks Implementation: Work extensively More ❯

data pipelines for performance, efficiency, 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. Azure Databricks Implementation: Work extensively More ❯

data pipelines for performance, efficiency, 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. Azure Databricks Implementation: Work extensively More ❯

in programming languages such as 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 technologies such as Data Lake More ❯

Snowflake), writing complex SQL queries. · Building ETL/ELT/data pipelines. · Kubernetes and Linux containers (e.g., Docker). · Related/complementary open-source software platforms and languages (e.g., Scala, Python, Java, Linux). · Experience with both relational (RDBMS) and non-relational databases. · Analytical and problem-solving skills applied to big data datasets. · Experience working on projects with agile/ More ❯

Snowflake), writing complex SQL queries. · Building ETL/ELT/data pipelines. · Kubernetes and Linux containers (e.g., Docker). · Related/complementary open-source software platforms and languages (e.g., Scala, Python, Java, Linux). · Experience with both relational (RDBMS) and non-relational databases. · Analytical and problem-solving skills applied to big data datasets. · Experience working on projects with agile/ More ❯

Snowflake), writing complex SQL queries. · Building ETL/ELT/data pipelines. · Kubernetes and Linux containers (e.g., Docker). · Related/complementary open-source software platforms and languages (e.g., Scala, Python, Java, Linux). · Experience with both relational (RDBMS) and non-relational databases. · Analytical and problem-solving skills applied to big data datasets. · Experience working on projects with agile/ More ❯

e.g., Terraform, CloudFormation). Familiarity 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 address history is essential. Start More ❯

GCP – Azure Databricks experience a 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, and independently, with a proven More ❯

on our journey and you 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 data lakes . Experience working More ❯

teams Excellent problem-solving ability, 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 like Airflow, Dagster, or Azure More ❯

Ideally, you’ll also have: Experience with Relational Databases and Data Warehousing concepts. Experience with enterprise ETL tools such as Informatica, Talend, DataStage, or Alteryx. Experience with Hadoop, Spark, Scala, Oracle, Pega, Salesforce. Cross-platform experience. Financial services sector experience. Line management, team building, mentoring, and staff development experience. You must be: Willing to work on client sites, potentially for More ❯

trends. Document data processes and 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. Problem-solving skills and ability More ❯

Strong understanding of DevOps methodologies 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 interpersonal and presentation skills. Desired More ❯

Strong understanding of DevOps methodologies 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 interpersonal and presentation skills. Desired More ❯

led solutions for our Bank’s customers. 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 data lakes . Experience working More ❯

Strong understanding of DevOps methodologies 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 interpersonal and presentation skills. Desired More ❯

with data warehousing and ETL tools such as Amazon Redshift, Google BigQuery, or Apache Airflow Proficiency in Python and at least one other programming language such as Java, or Scala Willingness to mentor more junior members of the team Strong analytical and problem-solving skills with the ability to work independently and in a team environment Desirable Skills: Certified in More ❯