326 to 350 of 913 Scala Jobs in England

experience in developing web/mobile applications or platforms with Java/J2EE or .NET stack and databases such as Oracle, MySQL, etc. Exposure to polyglot programming languages like Scala, Python, and Golang is a plus. Ability to read/write code and expertise with various design patterns. Experience with NoSQL databases such as MongoDB, Cassandra, etc. Responsibilities include working More ❯

experience - prior experience working as part of a growth-focused team is a plus. Proficient with one or more programming languages (Python is strongly preferred; other languages include Java, Scala, TypeScript, C++, C#). Experience using big data technologies in cloud environments to build data pipelines (e.g. Spark, EMR, Lambda, etc.). Excellent communication, organization, and prioritization skills, with a More ❯

challenges, this role is for you. You will work with billions of events daily, managing petabyte-scale data on Redshift and S3, and develop data pipelines using Spark/Scala EMR, SQL ETL, Airflow, and Java services. We seek a talented, enthusiastic, and detail-oriented Data Engineer to design, analyze, model, and operate big data pipelines. You will help build More ❯

one stack”. You’ll be expected to work across a broad tech landscape: Big Data & Distributed Systems: HDFS, Hadoop, Spark, Kafka Cloud: Azure or AWS Programming: Python, Java, Scala, PySpark – you’ll need two or more, Python preferred Data Engineering Tools: Azure Data Factory, Databricks, Delta Lake, Azure Data Lake SQL & Warehousing: Strong experience with advanced SQL and database More ❯

web/mobile applications or platform with either Java/J2EE or .NET tech stack and database technologies such as Oracle, MySQL, etc. Exposure to polyglot programming languages like Scala, Python and Golang will be a plus Ability to read/write code and expertise with various design patterns Have used NoSQL database such as MongoDB, Cassandra, etc. Work on More ❯

web/mobile applications or platform with either Java/J2EE or .NET tech stack and database technologies such as Oracle, MySQL, etc. Exposure to polyglot programming languages like Scala, Python and Golang will be a plus Ability to read/write code and expertise with various design patterns Have used NoSQL database such as MongoDB, Cassandra, etc. Work on More ❯

web/mobile applications or platforms with either Java/J2EE or .NET tech stack and database technologies such as Oracle, MySQL, etc. Exposure to polyglot programming languages like Scala, Python and Golang will be a plus Ability to read/write code and expertise with various design patterns Have used NoSQL databases such as MongoDB, Cassandra, etc. Responsibilities include More ❯

Language Models (e.g., GPT), Retrieval-Augmented Generation (RAG).**Technical Skills:*** Deep knowledge of Python (including libraries such as scikit-learn, Pandas, NumPy).* Experience with Jupyter, Spark/Scala or R, PostgreSQL, and ELK stack.* Proficiency in Java, Kubernetes, Docker, and microservices-oriented architecture.* Familiarity with MLOps practices and collaborative tools (e.g., GitLab).**Language Skills:*** English fluency (both More ❯

data engineering experience - Experience with SQL - Experience with data modeling, warehousing and building ETL pipelines - Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS - Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large More ❯

implementation of data-intensive system components Experience of applying standards for design (patterns), development, (style guides) and operational readiness (automation, deployment) Proficient software development experience in one of Java, Scala, or Python Software development experience with data-processing platforms from vendors including Informatica, Azure Databricks or any relevant ETL tools Expert in SQL or SQL extensions for analytical use case More ❯

Data Factory, or Synapse Analytics . Basic experience with test automation frameworks (e.g., PyTest, Great Expectations, DBT tests, or similar). Proficiency in SQL and scripting languages (e.g., Python, Scala) for test automation. Understanding of CI/CD and DevOps practices , with exposure to Azure DevOps, GitHub Actions, or Jenkins . Knowledge of data governance, security, and compliance best practices More ❯

and big data environments . Familiarity with Azure data platforms , such as Databricks, Azure Data Factory, Synapse Analytics, or ADLS . Proficiency in SQL and scripting languages (e.g., Python, Scala) for data validation and test automation. Experience with test automation frameworks (e.g., Great Expectations, DBT tests, PyTest, or similar ). Exposure to CI/CD testing within Azure DevOps, GitHub More ❯

prior experience working as part of a growth-focused team is a plus. Proficient with one or more programming languages (Python is strongly preferred with other languages including Java, Scala, TypeScript, C++, C#). Experience using big data technologies in cloud environments to build data pipelines (e.g. Spark, EMR, Lambda etc.). Excellent communication, organisation and prioritisation skills, and have More ❯

. Experience in data visualisation tools (Tableau, QlikView, Power BI, Business Objects). Hands-on experience with Spark programming in Python and at least one additional language (e.g., R, Scala). Strong collaboration, communication, and leadership skills. Optional Requirements: It will also be advantageous if you have: Familiarity with Microsoft BI technologies (SSAS, SSRS, Power BI, Power Platform). ADDITIONAL More ❯

its inner workings. Experience managing AWS or GCP. Experience in building or integrating Monitoring Tools (Datadog/Kibana/Grafana/Prometheus). Write software using either Java/Scala/Python. The following are nice to have, but not required - Apache Spark jobs and pipelines. Experience with any functional programming language. Writing and analysing SQL queries. Application overVIOOH Our More ❯

issues. What We're Looking For: Bachelor's/Master's Degree in Computer Science, Information Technology, or equivalent. Proficiency in at least one mainstream programming language (Python, Java, Scala, Clojure, etc.). In-depth understanding of data structures and algorithmic designs. Knowledge of computer networking concepts (TCP/IP, HTTPS, DNS, etc.). Understanding of software development methodologies (e.g. More ❯

building ETL pipelines - Experience with one or more scripting language (e.g., Python, KornShell) - Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) PREFERRED QUALIFICATIONS - Experience with big data technologies such as: Hadoop, Hive, Spark, EMR - Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. Our inclusive culture empowers Amazonians More ❯

with project deadlines. Ability to demonstrate an understanding of the commercial impact of their activities Provable knowledge of at least one of the following languages or equivalents: Python, R, Scala, Java Experience with common data science toolkits, such as scikit-learn, pandas, R, Weka; excellence in more than one of these is highly desirable Good understanding of SQL and NoSQL More ❯

with project deadlines. Ability to demonstrate an understanding of the commercial impact of their activities Provable knowledge of at least one of the following languages or equivalents: Python, R, Scala, Java Experience with common data science toolkits, such as scikit-learn, pandas, R, Weka; excellence in more than one of these is highly desirable Good understanding of SQL and NoSQL More ❯

on products and services within their specialty domain including expertise that extends beyond the Rackspace portfolio. Knowledge modern software development practices with exposure to any language, Java, C#, Node.js, Scala, Python or GO preferred. Knowledge of building containerised applications and systems on modern container orchestration platforms. Knowledge of CI/CD pipelines with respect to serverless and container application preferred. 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 ❯

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 ❯

and end users conveying technical concepts in a comprehensible manner Skills across the following data competencies: SQL (AWS Athena/Hive/Snowflake) Hadoop/EMR/Spark/Scala Data structures (tables, views, stored procedures) Data Modelling - star/snowflake Schemas, efficient storage, normalisation Data Transformation DevOps - data pipelines Controls - selection and build Reference and metadata management What else More ❯

hypotheses, accessing and prepping data and drawing actionable insights - Experience with AWS technologies (including Redshift, S3, Lambda etc.) - Coding experience in at least one modern programming language (Python, Ruby, Scala, Java, etc.) - Ability to self-direct, multitask, and prioritize a constantly evolving workload. - Proficient using at least one data visualization product (Tableau, Qlik, Amazon QuickSight, Power BI, etc.) - Proven ability More ❯

analytics and BI systems. 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). Experience in assessing and analysing technical issues or problems in order to identify and implement the appropriate solution. Knowledge and experience of data security and data protection (e.g., GDPR More ❯