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Data Engineer (IBM Cognos)

Π’ΠΈΠΏ Ρ€Π°Π±ΠΎΡ‚Ρ‹
fulltime
Π“Ρ€Π΅ΠΉΠ΄
middle
Английский
b2
Π‘Ρ‚Ρ€Π°Π½Π°
Philippines
Вакансия ΠΈΠ· списка Hirify.GlobalВакансия ΠΈΠ· Hirify Global, списка ΠΌΠ΅ΠΆΠ΄ΡƒΠ½Π°Ρ€ΠΎΠ΄Π½Ρ‹Ρ… tech-ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ
Для мэтча ΠΈ ΠΎΡ‚ΠΊΠ»ΠΈΠΊΠ° Π½ΡƒΠΆΠ΅Π½ Plus

ΠœΡΡ‚Ρ‡ & Π‘ΠΎΠΏΡ€ΠΎΠ²ΠΎΠ΄

Для мэтча с этой вакансиСй Π½ΡƒΠΆΠ΅Π½ Plus

ОписаниС вакансии

ВСкст:
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TL;DR
Data Engineer (IBM Cognos) (Retail Banking Analytics): Developing end-to-end data, reporting, and dashboard solutions for retail banking, with an accent on ETL, SQL, data modelling, data quality, Cognos, and Power BI. Focus on integrating structured and unstructured data, building reliable reporting assets, and translating stakeholder needs into scalable analytical solutions.

Location: Manila, One Ayala Tower 2, Philippines

Company

ING is an international banking group with approximately 65,000 employees operating across around 40 countries.

What you will do

  • Develop and maintain reporting and analytics solutions for retail banking performance and decision-making.
  • Gather business requirements and translate them into scalable data and reporting solutions.
  • Extract, transform, validate, and integrate data from multiple structured and unstructured sources.
  • Design data ingestion, transformation, modelling, storage, and other data handling processes.
  • Build dashboards and reports using Cognos and Power BI.
  • Analyze complex datasets, ensure data quality, and present insights and recommendations to stakeholders.

Requirements

  • 2–5 years of experience in a data-related role.
  • Expertise in IBM DataStage or similar ETL and data integration technologies.
  • Strong SQL and relational database management system skills.
  • Experience with data warehousing, data quality, business intelligence, and data modelling.
  • Experience building Cognos and Power BI dashboards and reports.
  • Bachelor’s degree in computer science, engineering, mathematics, statistics, or a related quantitative discipline.

Nice to have

  • Experience in banking, financial services, or other highly regulated industries.
  • Exposure to predictive analytics and statistical modelling.
  • Knowledge of Python for data analysis and automation.
  • Experience driving process improvement and presenting recommendations to senior stakeholders.

Culture & Benefits

  • Collaboration with international teams across the ING network.
  • Continuous learning and professional growth opportunities.
  • Exposure to enterprise-scale data engineering and analytics initiatives.
  • Diverse and inclusive workplace where ideas are valued.
  • Opportunity to solve meaningful banking challenges using data and contribute to services used by millions of customers.

Hiring process

  • Submit an application through the official ING careers site using Workday.
  • Legitimate recruitment communication comes from @ing.com or @myworkday.com; ING does not request payments or banking details.

Π‘ΡƒΠ΄ΡŒΡ‚Π΅ остороТны: Ссли Ρ€Π°Π±ΠΎΡ‚ΠΎΠ΄Π°Ρ‚Π΅Π»ΡŒ просит Π²ΠΎΠΉΡ‚ΠΈ Π² ΠΈΡ… систСму, ΠΈΡΠΏΠΎΠ»ΡŒΠ·ΡƒΡ iCloud/Google, ΠΏΡ€ΠΈΡΠ»Π°Ρ‚ΡŒ ΠΊΠΎΠ΄/ΠΏΠ°Ρ€ΠΎΠ»ΡŒ, Π·Π°ΠΏΡƒΡΡ‚ΠΈΡ‚ΡŒ ΠΊΠΎΠ΄/ПО, Π½Π΅ Π΄Π΅Π»Π°ΠΉΡ‚Π΅ этого - это мошСнники. ΠžΠ±ΡΠ·Π°Ρ‚Π΅Π»ΡŒΠ½ΠΎ ΠΆΠΌΠΈΡ‚Π΅ "ΠŸΠΎΠΆΠ°Π»ΠΎΠ²Π°Ρ‚ΡŒΡΡ" ΠΈΠ»ΠΈ ΠΏΠΈΡˆΠΈΡ‚Π΅ Π² ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΊΡƒ. ΠŸΠΎΠ΄Ρ€ΠΎΠ±Π½Π΅Π΅ Π² Π³Π°ΠΉΠ΄Π΅ β†’