1 to 25 of 55 Remote Scala Jobs in England

Data architecture and solution design experience Hands-on experience with modern data tools such as dbt, Fivetran, Matillion, or similar data integration platforms Programming skills in Python, Java, or Scala Relevant cloud certifications (SnowPro, Databricks Certified, AWS/Azure/GCP Data Engineering certifications) Experience with DataOps, CI/CD practices, and infrastructure-as-code Knowledge of data governance, data More ❯

Data architecture and solution design experience Hands-on experience with modern data tools such as dbt, Fivetran, Matillion, or similar data integration platforms Programming skills in Python, Java, or Scala Relevant cloud certifications (SnowPro, Databricks Certified, AWS/Azure/GCP Data Engineering certifications) Experience with DataOps, CI/CD practices, and infrastructure-as-code Knowledge of data governance, data More ❯

and collaboratively within client teams. Desirable: Consulting experience or client-facing delivery background. Familiarity with tools such as dbt, Fivetran, Matillion , or similar. Programming skills in Python, Java, or Scala . Cloud certifications (SnowPro, Databricks Certified, AWS/Azure/GCP). Knowledge of DataOps, CI/CD , and infrastructure-as-code concepts. What’s on Offer Hybrid working model More ❯

and collaboratively within client teams. Desirable: Consulting experience or client-facing delivery background. Familiarity with tools such as dbt, Fivetran, Matillion , or similar. Programming skills in Python, Java, or Scala . Cloud certifications (SnowPro, Databricks Certified, AWS/Azure/GCP). Knowledge of DataOps, CI/CD , and infrastructure-as-code concepts. What’s on Offer Hybrid working model More ❯

on proficiency with modern data technologies such as Spark, Kafka, Airflow, or dbt. Strong SQL skills and experience with cloud platforms (Azure preferred). Solid programming background in Python, Scala, or Java. Knowledge of data warehousing solutions (e.g. Snowflake, BigQuery, Redshift). Strong understanding of data governance, security, and compliance (experience within financial services is a plus). Leadership experience More ❯

on proficiency with modern data technologies such as Spark, Kafka, Airflow, or dbt. Strong SQL skills and experience with cloud platforms (Azure preferred). Solid programming background in Python, Scala, or Java. Knowledge of data warehousing solutions (e.g. Snowflake, BigQuery, Redshift). Strong understanding of data governance, security, and compliance (experience within financial services is a plus). Leadership experience 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 ❯

in consultancy or client-facing roles is highly desirable. Familiarity with CI/CD pipelines and version control tools (e.g., Git, Azure DevOps). Desirable Exposure to Python or Scala for data engineering tasks. Knowledge of Power BI or other visualisation tools. Experience with data governance frameworks and metadata management. If you’re interested, get in touch ASAP with a More ❯

in consultancy or client-facing roles is highly desirable. Familiarity with CI/CD pipelines and version control tools (e.g., Git, Azure DevOps). Desirable Exposure to Python or Scala for data engineering tasks. Knowledge of Power BI or other visualisation tools. Experience with data governance frameworks and metadata management. If you’re interested, get in touch ASAP with a More ❯

and enhance data performance and infrastructure. Key Skills & Experience: Strong experience with SQL/NoSQL databases, data warehousing, and big data (Hadoop, Spark). Proficient in Python, Java, or Scala with solid OOP and design pattern understanding. Expertise in ETL tools and orchestration frameworks (Airflow, Apache NiFi). Hands-on experience with cloud platforms (AWS, Azure, or GCP) and their More ❯

Paternity Charity Volunteer Days Cycle to work scheme And More.. DATA ENGINEER – ESSTENTIAL SKILLS Proven experience building data pipelines using Databricks . Strong understanding of Apache Spark (PySpark or Scala) and Structured Streaming . Experience working with Kafka (MSK) and handling real-time data . Good knowledge of Delta Lake/Delta Live Tables and the Medallion architecture . Hands More ❯

multiple stakeholders in a fast-paced environment Experience in the design and deployment of production data pipelines from ingestion to consumption within a big data architecture, using Java, Python, Scala, Spark, SQL. Experience performing tasks such as writing scripts, extracting data using APIs, writing SQL queries etc. Experience in processing large amounts of structured and unstructured data, including integrating data More ❯

managers on the estimated effort and technical implications of user stories and user journeys.• Coaching and mentoring team members.MINIMUM (ESSENTIAL) REQUIREMENTS:• Strong software development experience in one of Java, Scala, or Python• Software development experience with data-processing platforms from vendors such as AWS, Azure, GCP, Databricks.• Experience of developing substantial components for large-scale data processing solutions and deploying More ❯

processing frameworks and technologies AWS or Azure cloud experience Experience with data modelling, data integration ETL processes and designing efficient data structures Strong programming skills in Python, Java, or Scala Data warehousing concepts and dimensional modelling experience Any data engineering skills in Azure Databricks and Microsoft Fabric would be a bonus This new role involves leading a data team, fostering More ❯

is required. Demonstrable experience in leading client data engineering and integration projects for major clients Hands-on experience of designing and implementing Quantexa solutions for clients. Technical excellence in Scala, Python and Databricks Skills we’d love to see/Amazing Extras: Experience delivering Quantexa in Financial Services, Fraud Detection, AML, or KYC domains. Exposure to DevOps and CI/ More ❯

is required. Demonstrable experience in leading client data engineering and integration projects for major clients Hands-on experience of designing and implementing Quantexa solutions for clients. Technical excellence in Scala, Python and Databricks Skills we’d love to see/Amazing Extras: Experience delivering Quantexa in Financial Services, Fraud Detection, AML, or KYC domains. Exposure to DevOps and CI/ More ❯

+ data integration patterns. Experience of working with complex data pipelines, large data sets, data pipeline optimization + data architecture design. Implementing complex data transformations using Spark, PySpark or Scala + working with SQL/MySQL databases. Experience with data quality, data governance processes, Git version control + Agile development environments. Azure Data Engineer certification preferred -eg- Azure Data Engineer More ❯

complex data pipelines, big data processing frameworks and technologies Experience with data modelling, data integration ETL processes and designing efficient data structures Strong programming skills in Python, Java, or Scala Data warehousing concepts and dimensional modelling experience Any data engineering skills in Azure Databricks and Microsoft Fabric would be a bonus This new role involves building & managing a team of More ❯

data pipelines You have strong Data Engineering experience including design and data modelling skills You have advanced SQL and NoSQL database knowledge You can code with Golang, Python or Scala You have experience with Google BigQuery You have a good knowledge of event-driven architectures and messaging systems (Pub/Sub, Kafka) You have experience of deploying and managing services More ❯

or management role. Deep expertise in financial services, particularly in areas such as market risk, credit risk, or risk analytics. Proficiency in programming languages such as Java, Python, or Scala, and familiarity with modern frameworks. Experience working with cloud platforms (AWS, Azure, or GCP). Strong grasp of the software development lifecycle, agile methodologies, and DevOps principles. Excellent communication and More ❯

or management role. Deep expertise in financial services, particularly in areas such as market risk, credit risk, or risk analytics. Proficiency in programming languages such as Java, Python, or Scala, and familiarity with modern frameworks. Experience working with cloud platforms (AWS, Azure, or GCP). Strong grasp of the software development lifecycle, agile methodologies, and DevOps principles. Excellent communication and More ❯

. Proficiency in performance testing 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 as Jenkins, ADO, GitHub actions More ❯

J2ee Experienced in the following languages/tools, must have a proven background of experience - Java, JSON, XML, Microservices, Agile Scrum methodology, Play Framework, mongoDB. Knowledge of these areas - Scala, Docker, Puppet, IntelliJ, IDE, Sbt Knowledge of -Java Development, Weblogic, Webmethods, Java Scripting, J2SE, J2EE, Spring, EJB, HTML, HTML5, Unix, Eclipse, SOAP, XML, REST, JBOSS, Apache, Tomact, SQL, Hibernate, JUnit More ❯

Experience of applying standards for design (patterns), development (style guides), and operational readiness (automation, deployment)• Experience of designing, building and productionising modern, distributed data intensive applications• Experienced in Java, Scala or Python and comfortable with multiple programming paradigms (functional, OO)• Experience of deploying contemporary data stores such as object stores, document stores, key-value store, search, RDBMS, graph.• Software development More ❯

Comfortable with traditional and contemporary data warehousing concepts• Experience of deploying data-processing platforms from vendors such as AWS, Azure, GCP, Databricks.• Comfortable in one or more of Java, Scala, or Python with the ability to be 'hands on' when required.• We are passionate about developing people - a demonstrated ability in managing, coaching and developing members of your team and More ❯