Application Support Engineer Data & Integration Support
Application Engineer - Data & Integration Support
Contract:
12 months, with the possibility of extension. We are looking for a
mid-level Application Engineer
to support a key
Client Reporting / Investment Technology project . This role will focus on designing, developing and maintaining
data pipelines and integration solutions , while also providing BAU support, enhancements and production support for critical data platforms. Key Responsibilities: Design, build and maintain scalable
data pipelines, integrations and data solutions . Work closely with Business Analysts and stakeholders to translate business and data requirements into technical solutions. Develop and support data ingestion, transformation, validation and reconciliation processes. Investigate production incidents, perform root-cause analysis and implement fixes and enhancements. Monitor system and pipeline performance and identify opportunities for optimisation and automation. Support testing, change implementation, production releases and ongoing BAU activities. Maintain technical documentation, including data flows, mappings, interface specifications and operational runbooks. Requirements: Minimum
5 years of experience
in Application Support, Data Engineering or Data/Application Development. Strong hands-on experience in
Python and SQL . Experience working with
data pipelines, integrations, data transformation and data quality . Strong troubleshooting and production support experience. Ability to work closely with both business and technology stakeholders. Good communication skills and a proactive, adaptable mindset.
12 months, with the possibility of extension. We are looking for a
mid-level Application Engineer
to support a key
Client Reporting / Investment Technology project . This role will focus on designing, developing and maintaining
data pipelines and integration solutions , while also providing BAU support, enhancements and production support for critical data platforms. Key Responsibilities: Design, build and maintain scalable
data pipelines, integrations and data solutions . Work closely with Business Analysts and stakeholders to translate business and data requirements into technical solutions. Develop and support data ingestion, transformation, validation and reconciliation processes. Investigate production incidents, perform root-cause analysis and implement fixes and enhancements. Monitor system and pipeline performance and identify opportunities for optimisation and automation. Support testing, change implementation, production releases and ongoing BAU activities. Maintain technical documentation, including data flows, mappings, interface specifications and operational runbooks. Requirements: Minimum
5 years of experience
in Application Support, Data Engineering or Data/Application Development. Strong hands-on experience in
Python and SQL . Experience working with
data pipelines, integrations, data transformation and data quality . Strong troubleshooting and production support experience. Ability to work closely with both business and technology stakeholders. Good communication skills and a proactive, adaptable mindset.