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Software Engineer II- Python and Databricks, Glasgow
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Client:
Location:
Glasgow, United Kingdom
Job Category:
Other
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EU work permit required:
Yes
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Job Reference:
bc9d610a2b49
Job Views:
4
Posted:
05.05.2025
Expiry Date:
19.06.2025
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Job Description:
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Software Engineer II at JPMorgan Chase within the Global Banking, Data, Analytics & Technology division, you will play a pivotal role in an agile team committed to enhancing, creating, and delivering high-quality technology products in a secure, stable, and scalable way. Your abilities and contributions will significantly influence the business, and your deep technical knowledge and problem-solving tactics will be utilized to tackle a broad spectrum of challenges across diverse technologies and applications.
Job responsibilities
- Develops secure and high-quality production code, and reviews and debugs code written by others.
- Contribute to decisions that influence the product design, application functionality, and technical operations and processes.
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle.
- Influences peers and project decision-makers to consider the use and application of leading-edge technologies.
- Adds to the team culture of diversity, equity, inclusion, and respect.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and applied experience.
- Hands-on practical experience in application development, testing, and operational stability.
- Advanced in one or more programming language(s), Python is required.
- Knowledge of software applications and technical processes with hands-on knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile).
- Ability to understand design and functionality problems independently with little to no oversight.
- Experience performing data analytics on AWS platforms.
- Experience in writing efficient SQL, implementing complex ETL transformations on big data platforms.
- Experience in Big Data technologies (Spark, Impala, Hive, Redshift, Kafka).
- Experience in data quality testing; adept at writing test cases and scripts, presenting and resolving data issues.
- Experience with Databricks, Snowflake, Iceberg are required.
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Software Engineer II at JPMorgan Chase within the Global Banking, Data, Analytics & Technology division, you will play a pivotal role in an agile team committed to enhancing, creating, and delivering high-quality technology products in a secure, stable, and scalable way. Your abilities and contributions will significantly influence the business, and your deep technical knowledge and problem-solving tactics will be utilized to tackle a broad spectrum of challenges across diverse technologies and applications.
Job responsibilities
- Develops secure and high-quality production code, and reviews and debugs code written by others.
- Contribute to decisions that influence the product design, application functionality, and technical operations and processes.
- Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle.
- Influences peers and project decision-makers to consider the use and application of leading-edge technologies.
- Adds to the team culture of diversity, equity, inclusion, and respect.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and applied experience.
- Hands-on practical experience in application development, testing, and operational stability.
- Advanced in one or more programming language(s), Python is required.
- Knowledge of software applications and technical processes with hands-on knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile).
- Ability to understand design and functionality problems independently with little to no oversight.
- Experience performing data analytics on AWS platforms.
- Experience in writing efficient SQL, implementing complex ETL transformations on big data platforms.
- Experience in Big Data technologies (Spark, Impala, Hive, Redshift, Kafka).
- Experience in data quality testing; adept at writing test cases and scripts, presenting and resolving data issues.
- Experience with Databricks, Snowflake, Iceberg are required.
Preferred qualifications, capabilities, and skills- Understanding of application and data design disciplines with an emphasis on real-time processing and delivery. Kafka is preferable.
- Understanding of the Commercial & Investment Bank business will be useful.
- Understanding of the full range of database and business intelligence tools; publishing and presenting information in an engaging way is a plus.
- Financial Services and Commercial and Investment Banking experience is a plus.
- Familiarity with NoSQL database platforms (DynamoDB, Cassandra) is a plus.
- Familiarity with relational database environment (Oracle, SQL Server, leveraging databases, tables/views, stored procedures, agent jobs, etc.)