1 to 25 of 85 Remote Permanent Scala Jobs

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 ❯

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 ❯

Implement governance and security measures across the platform. Leverage Terraform or similar IaC tools for controlled and reproducible deployments. Databricks Development Develop and optimise data jobs using PySpark or Scala within Databricks. Implement the medallion architecture (bronze, silver, gold layers) and use Delta Lake for reliable data transactions. Manage cluster configurations and CI/CD pipelines for Databricks deployments. Monitoring More ❯

and monitoring in Databricks CICD Knowledge of DevOps practices for data pipelines Certifications: Azure Data Engineer or Azure Solutions Architect certifications Skills Mandatory Skills: Python for DATA,Java,Python,Scala,Snowflake,Azure BLOB,Azure Data Factory, Azure Functions, Azure SQL, Azure Synapse Analytics, AZURE DATA LAKE,ANSI-SQL,Databricks,HDInsight If you're excited about this role then we would More ❯

and monitoring in Databricks CICD Knowledge of DevOps practices for data pipelines Certifications: Azure Data Engineer or Azure Solutions Architect certifications Skills Mandatory Skills: Python for DATA,Java,Python,Scala,Snowflake,Azure BLOB,Azure Data Factory, Azure Functions, Azure SQL, Azure Synapse Analytics, AZURE DATA LAKE,ANSI-SQL,Databricks,HDInsight If you're excited about this role then we would More ❯

technologies like Kafka , Spark , Databricks , dbt , and Airflow . You'll know your way around cloud platforms (AWS, GCP, or Azure) and be confident coding in Python , Java , or Scala . Most importantly, you'll understand what it takes to design data systems that are scalable , reliable and built for the long haul. In return, they are offering a competitive 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 ❯

technologies like Kafka , Spark , Databricks , dbt , and Airflow . You'll know your way around cloud platforms (AWS, GCP, or Azure) and be confident coding in Python , Java , or Scala . Most importantly, you'll understand what it takes to design data systems that are scalable , reliable and built for the long haul. In return, they are offering a competitive More ❯

re Looking For Essential Skills & Experience: Proven experience as a Data Engineer or similar role, with strong knowledge of data warehousing and modelling. Proficiency in C#, Python, Java, or Scala . Hands-on experience with ETL tools (e.g., SSIS) and orchestration tools (e.g., Azure Data Factory). Strong SQL skills and experience with relational databases (MSSQL, PostgreSQL, MySQL). Familiarity More ❯

data science models to solve problems in a business environment setting. Relevant Experience Experience with machine learning technology, such as: big data, Java, Python, R, AWS, LLM models,. Scala and visualization techniques, including Dash, Tableau and Angular. Experience in understanding brand content, strategy, and tactics. Ability to effectively utilize dashboards and data products to derive insights. Experience with supporting More ❯

a blend of the following: Proven experience as a Data Engineer, with strong background in designing and implementing data solutions in an Agile environment Proficiency in Python, Java or Scala, plus experience with SQL and NoSQL databases Experience with Microsoft SQL Server and SSRS Familiarity with cloud platforms (AWS, Azure or GCP) and containerisation (Docker, Kubernetes) Strong understanding of CI More ❯

demonstrate, automate and manage data systems so they run smoothly and can grow easily. Familiarity with Docker, Terraform, GitHub Actions, and Vault Experience in coding SQL, Python, Spark, or Scala to work with data. Experience with databases used in Data Warehousing, Data Lakes, and Lakehouse setups. You know how to work with both structured and unstructured data. Experience in testing More ❯

demonstrate, automate and manage data systems so they run smoothly and can grow easily. Familiarity with Docker, Terraform, GitHub Actions, and Vault Experience in coding SQL, Python, Spark, or Scala to work with data. Experience with databases used in Data Warehousing, Data Lakes, and Lakehouse setups. You know how to work with both structured and unstructured data. Experience in testing More ❯

demonstrate, automate and manage data systems so they run smoothly and can grow easily. Familiarity with Docker, Terraform, GitHub Actions, and Vault Experience in coding SQL, Python, Spark, or Scala to work with data. Experience with databases used in Data Warehousing, Data Lakes, and Lakehouse setups. You know how to work with both structured and unstructured data. Experience in testing More ❯

data pipelines, big data processing frameworks and technologies Experience with data modelling, Databricks, 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 ❯

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 ❯

platform Understanding of data modeling principles and complex data models. Proficiency with relational and NoSQL databases as well as vector stores (e.g., Postgres, Elasticsearch/OpenSearch, ChromaDB) Knowledge of Scala, Spark, Ray, or other distributed computing systems highly preferred Knowledge of API development, containerization, and machine learning deployment highly preferred Experience with ML Ops/AI Ops highly preferred Salary More ❯

platform Understanding of data modeling principles and complex data models. Proficiency with relational and NoSQL databases as well as vector stores (e.g., Postgres, Elasticsearch/OpenSearch, ChromaDB) Knowledge of Scala, Spark, Ray, or other distributed computing systems highly preferred Knowledge of API development, containerization, and machine learning deployment highly preferred Experience with ML Ops/AI Ops highly preferred Salary More ❯

platform Understanding of data modeling principles and complex data models. Proficiency with relational and NoSQL databases as well as vector stores (e.g., Postgres, Elasticsearch/OpenSearch, ChromaDB) Knowledge of Scala, Spark, Ray, or other distributed computing systems highly preferred Knowledge of API development, containerization, and machine learning deployment highly preferred Experience with ML Ops/AI Ops highly preferred Salary 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 ❯

orchestration tools. Experience with provisioning and deploying services with a cloud provider (GCP, AWS, Azure). Fluency in any server-side programming language and the testing frameworks (Python, Java, Scala, Golang, Ruby). Sound understanding of architecture and software design patterns for server-side domains. Experience owning the full lifecycle of ML/AI platform components from early design to More ❯

Computer Science, Data Science, Data Engineering, or a related field which MUST incorporate a placement year (i.e. sandwich course). Demonstrable experience with programming languages such as Python, Java, Scala, or R. Understanding of data flows, data structures, algorithms, data engineering principles, and business intelligence (BI) systems. Ability to work independently and as part of a team. Strong problem-solving More ❯

3+ years of experience with Apache Kafka in highly regulated, mission-critical environments (preferably finance or banking). Strong understanding of Kafka internals and distributed systems. Proficiency in Java, Scala, or Python for building Kafka producers, consumers, and stream processors. Experience with Kafka Connect, Schema Registry (Avro), and Kafka Streams. Hands-on experience with containerization (Docker, Kubernetes) and CI/ More ❯

technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing More ❯

technologies, or Master's degree plus at least 6 years of experience developing AI and ML algorithms or technologies At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Experience architecting, designing, developing More ❯