1 to 25 of 129 Remote Permanent Scala Jobs

security, compliance, and data governance standards (e.g. GDPR , RBAC) Mentor junior engineers and guide technical decisions on client engagements ✅ Ideal Experience Strong in Python and SQL , plus familiarity with Scala or Java Experience supporting AI/ML workflows and working with Data Scientists Exposure to cloud platforms: AWS , Azure , or GCP Hands-on with modern data tooling: Spark , Databricks , Snowflake More ❯

security, compliance, and data governance standards (e.g. GDPR , RBAC) Mentor junior engineers and guide technical decisions on client engagements ✅ Ideal Experience Strong in Python and SQL , plus familiarity with Scala or Java Experience supporting AI/ML workflows and working with Data Scientists Exposure to cloud platforms: AWS , Azure , or GCP Hands-on with modern data tooling: Spark , Databricks , Snowflake More ❯

for data pipelines, data quality, and data transformation logic. Use tools like Azure Deequ , Spark , and Databricks to ensure data accuracy and completeness. Write robust, scalable test scripts in Scala , Python , and Java . Integrate testing into CI/CD pipelines and support infrastructure automation. Collaborate with data engineers, architects, and analysts to align QA efforts with data strategies. What … and a passion for quality in data. If you meet most of these, wed love to hear from you: Must-Have Skills: Eligible for SC clearance. Development background in Scala , Python , or Java Solid understanding of data engineering practices and data validation techniques. Experience using test automation frameworks for data pipelines and ETL workflows Strong communication and stakeholder management skills. More ❯

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

nature. You know how to branch, commit, and collaborate cleanly. Bonus Skills (nice to have): Apache Hadoop, Spark/Docker, Kubernetes/Grafana, Prometheus, Graylog/Jenkins/Java, Scala/Shell scripting Team ️ Our Tech Stack We build with the tools we love (and we love good tools): TypeScript, Node.js, React, Python, SQL, Scala, Java, Docker, Kubernetes, AWS, GCP More ❯

nature. You know how to branch, commit, and collaborate cleanly. Bonus Skills (nice to have): Apache Hadoop, Spark/Docker, Kubernetes/Grafana, Prometheus, Graylog/Jenkins/Java, Scala/Shell scripting Team ️ Our Tech Stack We build with the tools we love (and we love good tools): TypeScript, Node.js, React, Python, SQL, Scala, Java, Docker, Kubernetes, AWS, GCP More ❯

nature. You know how to branch, commit, and collaborate cleanly. Bonus Skills (nice to have): Apache Hadoop, Spark/Docker, Kubernetes/Grafana, Prometheus, Graylog/Jenkins/Java, Scala/Shell scripting Team ️ Our Tech Stack We build with the tools we love (and we love good tools): TypeScript, Node.js, React, Python, SQL, Scala, Java, Docker, Kubernetes, AWS, GCP More ❯

You are great at problem solving and see all technologies/engineering as a means to achieve this. You have advanced working knowledge of a general programming language (e.g. Scala, Python, Java, C# etc.) and understand both domain modelling and application programming. You have working knowledge of data management platforms (SQL, NoSQL, Spark/Databricks etc.) You have working knowledge More ❯

concepts to a range of audiences. Able to provide coaching and training to less experienced members of the team. Essential skills: Programming Languages such as Spark, Java, Python, PySpark, Scala or similar (minimum of 2) Extensive Data Engineering and Data Analytics hands-on experience Significant AWS hands-on experience Technical Delivery Manager skills Geospatial Data experience (including QGIS) FME Advanced … your well-being and career growth. KEYWORDS Principal Geospatial Data Engineer, Geospatial, GIS, QGIS, FME, AWS, On-Prem Services, Software Engineering, Data Engineering, Data Analytics, Spark, Java, Python, PySpark, Scala, ETL Tools, AWS Glue. Please note, to be considered for this role you MUST reside/live in the UK, and you MUST have the Right to Work in the More ❯

re solving for reliability, compliance, performance, and speed - at once. You'll be key to making it work. Required Skills: Knowledge of one or more programming languages (Java/Scala, TypeScript, Python). Validated experience operating distributed systems at scale in production. Cloud AWS (primary), Kubernetes (future), Docker (current), Terraform. Excellent debugging skills across network, systems, and data stack. Observability More ❯

control, task tracking). ·Demonstrable experience writing ETL scripts and code to make sure the ETL processes perform optimally. ·Experience in other programming languages for data manipulation (e.g., Python, Scala). ·Extensive experience of data engineering and the development of data ingest and transformation routines and services using modern, cloud-based approaches and technologies. ·Understanding of the principles of data More ❯

education) in a STEM discipline. Proven experience in software engineering and development, and a strong understanding of computer systems and how they operate. Hands on Experience in Java , Spark , Scala ( or Java) Production scale hands-on Experience to write Data pipelines using Spark/any other distributed real time/batch processing. Strong skill set in SQL/Databases Strong More ❯

education) in a STEM discipline. Proven experience in software engineering and development, and a strong understanding of computer systems and how they operate. Hands on Experience in Java , Spark , Scala ( or Java) Production scale hands-on Experience to write Data pipelines using Spark/any other distributed real time/batch processing. Strong skill set in SQL/Databases Strong More ❯

control, task tracking). Demonstrable experience writing ETL scripts and code to make sure the ETL processes perform optimally. Experience in other programming languages for data manipulation (e.g., Python, Scala). Extensive experience of data engineering and the development of data ingest and transformation routines and services using modern, cloud-based approaches and technologies. Understanding of the principles of data More ❯

their favourite shows is a challenge that we relish. This means scaling, and reliability is our primary focus in everything we build. The User Services Teams: We are functional Scala enthusiasts ( Cats/Scalaz/ZIO/shapeless etc) that care about following best practice. We're responsible for things like registration, login and authentication, profiles and personalisation and compliance … experienced advocates of functional programming so you can expect to join a team that is applying principles from FP, Reactive Programming and Distributed Computing to build these services, using Scala, Akka, Kafka, Play and Cats, as well a wide range of cloud-native technologies including AWS (Kinesis, DynamoDB, Lambda), Docker and Serverless. We have a mature DevOps culture in place … where the team is responsible for the infrastructure and deployment of those applications - "You build it, you run it." What you will do: You will be using Scala , Akka , Kafka , Kinesis , and Dynamo to build and innovate our software that is distributed, reactive, and scalable. You will: Lead a product engineering team, ultimately responsible for the delivery of that product More ❯

concepts to a range of audiences. Able to provide coaching and training to less experienced members of the team. Essential Skills: Programming Languages such as Spark, Java, Python, PySpark, Scala or similar (minimum of 2). Extensive Big Data hands-on experience across coding/configuration/automation/monitoring/security is necessary. Significant AWS or Azure hands-on … Right to Work in the UK long-term as our client is NOT offering sponsorship for this role. KEYWORDS Lead Data Engineer, Senior Data Engineer, Spark, Java, Python, PySpark, Scala, Big Data, AWS, Azure, Cloud, On-Prem, ETL, Azure Data Fabric, ADF, Hadoop , HDFS , Azure Data, Delta Lake, Data Lake Please note that due to a high level of applications More ❯

using Azure. Stay current with Azure technologies and identify areas for enhancement. Databricks (Unity Catalog, DLT), Data Factory, Synapse, Data Lake, Stream Analytics, Event Hubs. Strong knowledge of Python, Scala, C#, .NET. Experience with advanced SQL, T-SQL, relational databases. Azure DevOps, Terraform, BICEP, ARM templates. Distributed computing, cloud-native design patterns. Data modelling, metadata management, data quality, data as More ❯

be helpful in this role. While SQL is a language everybody on the team knows very well, Snowflake is fast evolving to allow native integrations with Python, Java and Scala & with Snowpark , if you have experience with Spark you will definitely be able to put these skills to good use. DataOps or DevOps for data teams is getting ever more More ❯

Job Title: Data Pipeline Developer About Us: We find strength in teamwork-a better you is a better us BLN24 is an award-winning Management Consulting Firm that supports the U.S. Federal Government in successfully achieving their mission and goals. More ❯

Sumsub is the one verification platform to secure the whole user journey. With Sumsub's customizable KYC, KYB, transaction monitoring and fraud prevention solutions, you can orchestrate your verification process, welcome more customers worldwide, meet compliance requirements, reduce costs and More ❯

champion a culture of innovation and challenge. We have over 300 tech experts across our teams all using 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’re a place of opportunity. You’ll have the tools and autonomy to drive your own career, supported More ❯

d love to hear from you. Experience working with data: wrangling, cleaning, and transforming datasets for analysis. Familiarity with tools such as Alteryx, DataRobot, SAS, Databricks, SPSS, R, Python, Scala, Java, or Spark. Exposure to data visualisation platforms like Tableau or Power BI. Understanding of machine learning concepts and algorithms (e.g. classification, clustering, regression). Interest in or experience with More ❯

governance. Strong expertise in balancing trade-offs within complex distributed systems, focusing on data quality, performance, reliability, availability, and security. Proficient in software engineering with modern languages (e.g. Python, Scala, Java), applying best practices to create maintainable, scalable, and robust code. A continuous learner, up-to-date with the latest technology trends, with the ability to assess new technologies pragmatically More ❯

Purview or equivalent for data governance and lineage tracking Experience with data integration, MDM, governance, and data quality tools . Hands-on experience with Apache Spark, Python, SQL, and Scala for data processing. Strong understanding of Azure networking, security, and IAM , including Azure Private Link, VNETs, Managed Identities, and RBAC . Deep knowledge of enterprise-scale data architecture patterns , including More ❯

Ability to work both independently and as a part of a team in a fast-paced and rapidly changing environment. What technical skills you will require Proficiency in Java, Scala and Python. Expertise in component integration via REST APIs and message queues (Solace, Kafka). Thorough understanding of multi-threaded programming. Working knowledge of NoSQL databases, such as Couchbase. Ability More ❯