1 to 25 of 75 Remote Permanent Scala Jobs

Hands-on experience with big data technologies such as Apache Spark, Kafka, Hive, or Hadoop. Proficient in at least one programming language (e.g. Python, Scala, Java, R). Experience deploying and maintaining cloud infrastructure (e.g. AWS, GCP, or Azure). Familiarity with data modeling and warehousing concepts, and dimensional modeling More ❯

not limited to banking, insurance, healthcare, media, retail, infrastructure and telco. The ideal candidate with have expertise in some of the following: Python, SQL, Scala, and Java for data engineering. Strong experience with big data tools (Apache Spark, Hadoop, Databricks, Dask) and cloud platforms (AWS, Azure, GCP). Proficient in More ❯

. 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 More ❯

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 More ❯

profiling, data modeling and data engineering using relational databases like Snowflake, Oracle, SQL Server; ETL tools like Informatica IICS; scripting using Python, R, or Scala; workflow management tools like Autosys Experience with stream processing systems like Kafka, Spark streaming etc Experience in Java, JMS, SOAP, REST, JSON, XML technologies, along More ❯

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 More ❯

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 More ❯

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 More ❯

asynchronous architecture Familiar with AWS, Unix/Linux, Git, SQL, and REST Bonus Points for Experience or interest in: Functional programming languages such as Scala, Haskell and Clojure Relational and NoSQL databases such as PostgreSQL and MongoDB DevOps such as Terraform, Fargate and Kubernetes Frontend development such as Node.js and More ❯

unstructured data Hands-on experience with ETL tools and data workflow orchestration (e.g., Apache Airflow, Luigi, Prefect) Strong programming skills in Python, SQL, or Scala Experience with open-source data processing tools (e.g., Kafka, Spark, Flink, Hadoop) Familiarity with database technologies (PostgreSQL, MySQL, or NoSQL solutions) Ability to work in More ❯

processes . Strong SQL skills , with the ability to write optimized and scalable queries. Or, Proficiency in at least one programming language ( Python , Java, Scala, or .NET). CI/CD : Experience using CI/CD pipelines for development and deployment of data pipelines. Proficiency in Git-based workflows and More ❯

real-time data ingestion and storage. Ability to optimise and refactor existing data pipelines for greater performance and reliability. 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 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 ❯

from system level to individual software components. Experience with some or all of the following: Programming languages such as Java, C#, C++, JavaScript, Python, Scala, Ruby and Go IDEs such as Eclipse, NetBeans, IntelliJ IDEA, PyCharm, Visual Studio and VS Code Operating systems such as Windows, Unix, Linux and macOS 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 ❯

pipeline orchestration. Strong knowledge of Medallion architecture and experience creating ETL workflows for bronze, silver, and gold data tables. Proficiency in SQL, Python, or Scala for data manipulation and scripting. Active Secret Clearance is mandatory. Strong analytical and problem-solving skills, with the ability to work independently in a remote More ❯

leveraging AWS services and implement effective metrics and monitoring processes. Your Skills and Experience Experience of AWS tools (e.g. Athena, Redshift, Glue, EMR), Java, Scala, Python, Spark. Experience of developing enterprise grade ETL/ELT data pipelines and demonstrable knowledge of applying Data Engineering best practices (coding practices to DS More ❯

from system level to individual software components. Experience with some or all of the following: Programming languages such as Java, C#, C++, JavaScript, Python, Scala, Ruby and Go IDEs such as Eclipse, NetBeans, IntelliJ IDEA, PyCharm, Visual Studio and VS Code Operating systems such as Windows, Unix, Linux and macOS More ❯

from system level to individual software components. Experience with some or all of the following: Programming languages such as Java, C#, C++, JavaScript, Python, Scala, Ruby and Go IDEs such as Eclipse, NetBeans, IntelliJ IDEA, PyCharm, Visual Studio and VS Code Operating systems such as Windows, Unix, Linux and macOS More ❯

from system level to individual software components. Experience with some or all of the following: Programming languages such as Java, C#, C++, JavaScript, Python, Scala, Ruby and Go IDEs such as Eclipse, NetBeans, IntelliJ IDEA, PyCharm, Visual Studio and VS Code Operating systems such as Windows, Unix, Linux and macOS More ❯

and Experience ETL/ELT processes, data modeling, and data warehousing Proficient in SQL, and familiar with NoSQL databases Skilled in Python, Java, or Scala for data pipeline development Experienced with BigQuery, Dataflow, Dataproc, Cloud Storage, Pub/Sub Exposure to Hadoop, Spark, Kafka Data Engineer - GCP & Python Location: London 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 ❯

and methodologies used both in research and engineering fields Hands-on experience in other programming language/scripting language and development stack (Java, Rust, Scala, Typescript, etc.) What's in it For You? Hybrid Work Model: We've adopted a flexible hybrid working environment (2-3 days a week in More ❯

flow and processing. Use your expertise in SQL , along with experience in relational and NoSQL databases. Transform and process data using Python , Spark , or Scala . Implement secure, scalable ETL frameworks that deliver value and insights. What's In It For You? Competitive salary. Flexible Hybrid Working - 2 days a More ❯