Starszy Doradca Bankowości Detalicznej jobs at Citi Group in Poland, Warsaw
Citi Group Starszy Doradca Bankowości Detalicznej Poland, Masovian Voivodeship, Warsaw
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Responsibilities:
Design, build, and own key Production Engineering dashboards and metrics pipelines, with hands-on ownership across enterprise tools like Tableau, Grafana, Jira, and ServiceNow, giving teams the visibility to make smarter, faster decisions in day-to-day operations and incident response.
Establish enterprise aligned consistent frameworks and guiding teams in adopting them, you will help mature how the wider production organization defines, tracks, and acts on engineering health and operational risk.
Own the end-to-end data pipeline – from extraction (via APIs or queries), transformation, validation, and delivery – for SRE & wider Production metrics ensuring fully alignment with bank's Agile workflows.
Have an automation first mindset - Challenge the status quo, collaborate & contribute innovative solutions to the wider SMBF Production capabilities to improve visibility of key engineering metrics.
Track and improve critical production OKRs across Services Production such as MTTR, MTTD, change success rate, recovery automation/Swing tests, alert volume, and toil, by providing actionable insights.
Utilise & re-use the existing enterprise solutions to create a unified view of reliability and recovery trends within Services.
Collaborate with other central Observability, Architecture and Infrastructure teams to ensure the availability, quality, and consistency of engineering data.
Build out data models and repositories that support historical analysis, trend forecasting, and anomaly detection.
Drive executive and operational reporting to tell a real story of engineering progress, platform health, and critical business impact enabling LoBs to take data driven decisions.
Support SRE tooling strategy by identifying gaps in telemetry, metrics maturity, and automation opportunities.
Define and operationalize SLIs, SLOs, and error budgets in partnership with other SREs and development teams across Services, ensuring continue refinement.
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behaviour, conduct and business practices, and escalating, managing and reporting control issues with transparency.
Qualifications:
15+ years of experience in SRE, Observability, Engineering Productivity, or Data Engineering roles.
Hands-on experience with Tableau and Grafana for visualization and reporting.
Strong command of data integration and engineering techniques (e.g., REST APIs, SQL, Python, ETL tools, data modelling).
Experience building metrics pipelines and data workflows across ServiceNow, Jira, Grafana, cloud telemetry, and operational systems.
Familiarity with defining and implementing SLIs, SLOs, and error budget-based engineering workflows.
Deep understanding of incident response, recovery processes, and engineering operations in enterprise environments & the related KPIs
Demonstrated ability to influence enterprise outcomes using data – from post-incident reviews to quarterly engineering OKRs.
Strong communication skills with the ability to engage both senior technical and non-technical audiences.
Demonstrated social, positive, can-do attitude to quickly learn and take own initiative to deliver creative and productive solutions
Ability to communicate well at all levels and network / influence at all levels
Ability to balance multiple demands and work both independently and as part of a matrix organisation to develop solutions
Education:
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience.
Time Type:
These jobs might be a good fit
Share
Responsibilities:
Design, build, and own key Production Engineering dashboards and metrics pipelines, with hands-on ownership across enterprise tools like Tableau, Grafana, Jira, and ServiceNow, giving teams the visibility to make smarter, faster decisions in day-to-day operations and incident response.
Establish enterprise aligned consistent frameworks and guiding teams in adopting them, you will help mature how the wider production organization defines, tracks, and acts on engineering health and operational risk.
Own the end-to-end data pipeline – from extraction (via APIs or queries), transformation, validation, and delivery – for SRE & wider Production metrics ensuring fully alignment with bank's Agile workflows.
Have an automation first mindset - Challenge the status quo, collaborate & contribute innovative solutions to the wider SMBF Production capabilities to improve visibility of key engineering metrics.
Track and improve critical production OKRs across Services Production such as MTTR, MTTD, change success rate, recovery automation/Swing tests, alert volume, and toil, by providing actionable insights.
Utilise & re-use the existing enterprise solutions to create a unified view of reliability and recovery trends within Services.
Collaborate with other central Observability, Architecture and Infrastructure teams to ensure the availability, quality, and consistency of engineering data.
Build out data models and repositories that support historical analysis, trend forecasting, and anomaly detection.
Drive executive and operational reporting to tell a real story of engineering progress, platform health, and critical business impact enabling LoBs to take data driven decisions.
Support SRE tooling strategy by identifying gaps in telemetry, metrics maturity, and automation opportunities.
Define and operationalize SLIs, SLOs, and error budgets in partnership with other SREs and development teams across Services, ensuring continue refinement.
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behaviour, conduct and business practices, and escalating, managing and reporting control issues with transparency.
Qualifications:
15+ years of experience in SRE, Observability, Engineering Productivity, or Data Engineering roles.
Hands-on experience with Tableau and Grafana for visualization and reporting.
Strong command of data integration and engineering techniques (e.g., REST APIs, SQL, Python, ETL tools, data modelling).
Experience building metrics pipelines and data workflows across ServiceNow, Jira, Grafana, cloud telemetry, and operational systems.
Familiarity with defining and implementing SLIs, SLOs, and error budget-based engineering workflows.
Deep understanding of incident response, recovery processes, and engineering operations in enterprise environments & the related KPIs
Demonstrated ability to influence enterprise outcomes using data – from post-incident reviews to quarterly engineering OKRs.
Strong communication skills with the ability to engage both senior technical and non-technical audiences.
Demonstrated social, positive, can-do attitude to quickly learn and take own initiative to deliver creative and productive solutions
Ability to communicate well at all levels and network / influence at all levels
Ability to balance multiple demands and work both independently and as part of a matrix organisation to develop solutions
Education:
Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience.
Time Type:
These jobs might be a good fit
