1 to 25 of 363 Remote Scala Jobs in the UK

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 ❯

Azure). Deep understanding of 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 both technical and non-technical 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 ❯

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 ❯

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 ❯

Governance & Compliance Apply robust security measures (RBAC, encryption) and ensure regulatory compliance (GDPR). Document data lineage and recommend improvements for data ownership and stewardship. Qualifications Programming: Python, SQL, Scala, Java. Big Data: Apache Spark, Hadoop, Databricks, Snowflake, etc. Cloud: AWS (Glue, Redshift), Azure (Synapse, Data Factory, Fabric), GCP (BigQuery, Dataflow). Data Modelling & Storage: Relational (PostgreSQL, SQL Server), NoSQL More ❯

Synapse Analytics. Experience working with Delta Lake for schema evolution, ACID transactions, and time travel in Databricks. Strong Python (PySpark) skills for big data processing and automation. Experience with Scala (optional but preferred for advanced Spark applications). Experience working with Databricks Workflows & Jobs for data orchestration. Strong knowledge of feature engineering and feature stores, particularly in Databricks Feature store More ❯

Azure). Deep understanding of 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 both technical and non-technical More ❯

to having resided in the UK for at least the past 5 years and being a UK national or dual UK national. Experience in prominent languages such as Python, Scala, Spark, SQL. Experience working with any database technologies from an application programming perspective - Oracle, MySQL, Mongo DB etc. Experience with the design, build and maintenance of data pipelines and infrastructure More ❯

to ensure quality. What we need to see from you Qualifications Proven experience as a Data Engineer with a strong background in data pipelines. Proficiency in Python, Java, or Scala, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience with Databricks, Azure AI Services, and cloud platforms (AWS, Google Cloud, Azure). Solid understanding of SQL and NoSQL databases. More ❯

Join to apply for the Software engineer, backend (Scala) role at WRITER Join to apply for the Software engineer, backend (Scala) role at WRITER About This Role Writer is seeking a talented Backend engineer with deep functional programming and Scala experience to join our dynamic team and contribute to our groundbreaking projects in the enterprise generative AI space. About This … Role Writer is seeking a talented Backend engineer with deep functional programming and Scala experience to join our dynamic team and contribute to our groundbreaking projects in the enterprise generative AI space. At Writer, we believe in using the power of AI to unlock the potential of the enterprise. With the help of our Backend Engineer, we can continue to … designing, developing, and maintaining the backend infrastructure that powers our systems. You will collaborate closely with our cross-functional teams to build scalable and efficient solutions. Your expertise in Scala will be instrumental in implementing robust and high-performance backend services. ????️ Your Responsibilities Design, develop, and maintain backend systems and APIs using Scala and related technologies Collaborate with data scientists More ❯

Spark) and real-time streaming. Expertise in cloud security, data governance, and compliance (GDPR, HIPAA). Strong SQL skills and proficiency in at least one programming language (Python, Java, Scala). Excellent problem-solving, communication, and project management skills. Experience with DevOps, CI/CD pipelines, and infrastructure as code (Terraform, CloudFormation). Ability to travel as needed. Additional Information More ❯

Kafka, Spark Streaming, Flink, etc.). Experience working with cloud platforms such as AWS, GCP, or Azure for real-time data ingestion and storage. Programming skills in Python, Java, Scala, or a similar language. Proficiency in database technologies (SQL, NoSQL, time-series databases) and data modelling. Strong understanding of data pipeline orchestration tools (e.g., Apache Airflow, Kubernetes). You thrive More ❯

Data Lakes, NoSQL, and relational databases. Solid experience in building scalable and reliable data pipelines for data transformation and feature extraction. Solid proficiency in scientific programming languages like Python, Scala, Java, or SQL. Solid experience with cloud platforms (AWS, GCP, Azure) and cloud services for data storage, processing, and analytics. Nice-to-Have Requirements Familiarity with big data technologies such More ❯

Data Engineer - Investment Banking - London/Hybrid (Data Engineer, SQL Data Engineer, Java, Python, Spark, Scala, SQL, Snowflake, OO programming, 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 join More ❯

any open issues. Experience with recruiting, managing, and developing engineers or other deeply technical contributors. Deep knowledge and use of at least one common web backend language: e.g., Python, Scala, Java, JavaScript (Node.js) including toolchains for documentation, testing, and operations/observability. Developing and deploying applications in a cloud environment like Google Cloud (preferred), AWS, Azure Strong experience with modern … Angular.js or similar. API development using technologies and standards like REST/GraphQL/gRPC or similar. Experience in an open-source web framework preferably implemented in Python, Java, Scala, or similar. Experience with Authentication & Authorisation Mechanisms e.g OAuth2 Application experience of CI/CD implementations using git and a common CI/CD stack Experience in agile software development More ❯

SQL for data manipulation (at least one of PostgreSQL, MSSQL, Google BigQuery, SparkSQL) Modelling & Statistical Analysis experience, ideally customer related Coding skills in at least one of Python, R, Scala, C, Java or JS Track record of using data manipulation and machine learning libraries in one or more programming languages. Keen interest in some of the following areas: Big Data More ❯

to life. We champion a culture of innovation and challenge. Our teams of over 300 tech experts use the latest tools and technologies including Docker, Kubernetes, AWS, Kafka, Java, Scala, Python, .NET Core, Node.js, and MongoDB. There's something for everyone. We offer opportunities for growth. You'll have the tools and autonomy to develop your career, supported by talented More ❯

Data Factory, Azure Data Lake Storage, Azure Synapse) and architecting cloud-native data platforms. Programming Proficiency: Expert-level skills in Python (PySpark) and SQL for data engineering and transformation. Scala is a strong plus. Data Modelling: Strong understanding and practical experience with data warehousing, data lake, and dimensional modelling concepts. ETL/ELT & Data Pipelines: Proven track record of designing More ❯

Data Factory, Azure Data Lake Storage, Azure Synapse) and architecting cloud-native data platforms. Programming Proficiency: Expert-level skills in Python (PySpark) and SQL for data engineering and transformation. Scala is a strong plus. Data Modelling: Strong understanding and practical experience with data warehousing, data lake, and dimensional modelling concepts. ETL/ELT & Data Pipelines: Proven track record of designing More ❯

Data Factory, Azure Data Lake Storage, Azure Synapse) and architecting cloud-native data platforms. Programming Proficiency: Expert-level skills in Python (PySpark) and SQL for data engineering and transformation. Scala is a strong plus. Data Modelling: Strong understanding and practical experience with data warehousing, data lake, and dimensional modelling concepts. ETL/ELT & Data Pipelines: Proven track record of designing More ❯

Data Factory, Azure Data Lake Storage, Azure Synapse) and architecting cloud-native data platforms. Programming Proficiency: Expert-level skills in Python (PySpark) and SQL for data engineering and transformation. Scala is a strong plus. Data Modelling: Strong understanding and practical experience with data warehousing, data lake, and dimensional modelling concepts. ETL/ELT & Data Pipelines: Proven track record of designing More ❯

Data Factory, Azure Data Lake Storage, Azure Synapse) and architecting cloud-native data platforms. Programming Proficiency: Expert-level skills in Python (PySpark) and SQL for data engineering and transformation. Scala is a strong plus. Data Modelling: Strong understanding and practical experience with data warehousing, data lake, and dimensional modelling concepts. ETL/ELT & Data Pipelines: Proven track record of designing More ❯