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Data Engineer - Amazon Redshift

ExperiencedNo visa sponsorship
Macquarie logo

at Macquarie

Investment Banking

Posted 14 days ago

No clicks

**Data Engineer - Amazon Redshift** Design, build, and optimize data pipelines feeding analytics and reporting in a regulated financial environment using Amazon Redshift. Requires 5+ years in data engineering, hands-on experience with SQL and Python, ETL patterns, AI-assisted development tools, and proficiency in regulated environments. Join our Technology team within Macquarie Capital for a rewarding career with diverse project ownership and impact.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
Not specified

Full Job Description

  • Jobs

  • Featured jobs

  • Back to search

Data Engineer - Amazon Redshift

Additional office locations
Manila
Job ID
21380
Date
24-Apr-2026
Permanent - Full time, Mid-level, Mid-senior
Job category
Technology - Engineering
Apply now
Share
  • Email
Join our Technology team within Macquarie Capital, which supports key analytics and reporting through reliable data platforms. We build and run data solutions that meet strong control, quality and governance standards across our technology environment.
At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. Youll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes.

What role will you play?

Press space or enter keys to toggle section visibility

You will design, build and improve data pipelines that feed analytics and reporting for a regulated financial business. You will work closely with analysts, engineers and risk partners to deliver data solutions that are reliable, well controlled and easy to maintain. Your career will benefit from hands-on engineering work with clear ownership and real impact.

What you offer

Press space or enter keys to toggle section visibility

  • 5 years of experience in data engineering or similar role 
  • Strong hands-on experience with SQL and Python 
  • Experience building and supporting production data pipelines using extract, load and transform patterns 
  • Experience using AI assisted development tools to improve delivery quality and speed, with appropriate human oversight 
  • Confidence working in regulated or control-focused environments, with exposure to modern data platforms such as Amazon Redshift, Snowflake or Cloudera.
We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply.

What we offer

Press space or enter keys to toggle section visibility

At Macquarie, youre empowered to shape a career thats rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include:

  • 1 wellbeing leave day per year
  • 20 weeks paid parental leave for primary caregivers along with 12 days of paid transition leave upon return to work and 6 weeks paid leave for secondary caregivers
  • 5 days carers leave of immediate family members on top of annual leave
  • 2 days of paid volunteer leave and donation matching
  • Voluntary parental medical insurance plan for married employees
  • Wellbeing benefits, sessions and events to support your physical, mental and financial wellbeing, including a comprehensive medical and life insurance cover
  • Access to our Employee Assistance Program, a robust behavioural health network with counselling and coaching services
  • Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription
  • Hybrid and flexible working arrangements, dependent on role
  • Reimbursement for work from home equipment

About Technology

Press space or enter keys to toggle section visibility

Technology enables every aspect of Macquarie, for our people, our customers and our communities. Were a global team that is passionate about accelerating the digital enterprise, connecting people and data, building platforms and applications and designing tomorrows technology solutions.

Our commitment to diversity, equity and inclusion

Press space or enter keys to toggle section visibility

We are committed to fostering a diverse, equitable and inclusive workplace. We encourage people from all backgrounds to apply and welcome all identities, including race, ethnicity, cultural identity, nationality, gender (including gender identity or expression), age, sexual orientation, marital or partnership status, parental, caregiving or family status, neurodiversity, religion or belief, disability, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process.

Our aim is to provide reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know in the application process.

Data Engineer - Amazon Redshift

Compensation

Not specified

City: Not specified

Country: Not specified

Macquarie logo
Investment Banking

14 days ago

No clicks

at Macquarie

ExperiencedNo visa sponsorship

**Data Engineer - Amazon Redshift** Design, build, and optimize data pipelines feeding analytics and reporting in a regulated financial environment using Amazon Redshift. Requires 5+ years in data engineering, hands-on experience with SQL and Python, ETL patterns, AI-assisted development tools, and proficiency in regulated environments. Join our Technology team within Macquarie Capital for a rewarding career with diverse project ownership and impact.

Full Job Description

  • Jobs

  • Featured jobs

  • Back to search

Data Engineer - Amazon Redshift

Additional office locations
Manila
Job ID
21380
Date
24-Apr-2026
Permanent - Full time, Mid-level, Mid-senior
Job category
Technology - Engineering
Apply now
Share
  • Email
Join our Technology team within Macquarie Capital, which supports key analytics and reporting through reliable data platforms. We build and run data solutions that meet strong control, quality and governance standards across our technology environment.
At Macquarie, our advantage is bringing together diverse people and empowering them to shape all kinds of possibilities. We are a global financial services group operating in 31 markets and with 56 years of unbroken profitability. Youll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes.

What role will you play?

Press space or enter keys to toggle section visibility

You will design, build and improve data pipelines that feed analytics and reporting for a regulated financial business. You will work closely with analysts, engineers and risk partners to deliver data solutions that are reliable, well controlled and easy to maintain. Your career will benefit from hands-on engineering work with clear ownership and real impact.

What you offer

Press space or enter keys to toggle section visibility

  • 5 years of experience in data engineering or similar role 
  • Strong hands-on experience with SQL and Python 
  • Experience building and supporting production data pipelines using extract, load and transform patterns 
  • Experience using AI assisted development tools to improve delivery quality and speed, with appropriate human oversight 
  • Confidence working in regulated or control-focused environments, with exposure to modern data platforms such as Amazon Redshift, Snowflake or Cloudera.
We love hearing from anyone inspired to build a better future with us, if you're excited about the role or working at Macquarie we encourage you to apply.

What we offer

Press space or enter keys to toggle section visibility

At Macquarie, youre empowered to shape a career thats rewarding in all the ways that matter most to you. Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include:

  • 1 wellbeing leave day per year
  • 20 weeks paid parental leave for primary caregivers along with 12 days of paid transition leave upon return to work and 6 weeks paid leave for secondary caregivers
  • 5 days carers leave of immediate family members on top of annual leave
  • 2 days of paid volunteer leave and donation matching
  • Voluntary parental medical insurance plan for married employees
  • Wellbeing benefits, sessions and events to support your physical, mental and financial wellbeing, including a comprehensive medical and life insurance cover
  • Access to our Employee Assistance Program, a robust behavioural health network with counselling and coaching services
  • Access to a wide range of learning and development opportunities, including reimbursement for professional membership or subscription
  • Hybrid and flexible working arrangements, dependent on role
  • Reimbursement for work from home equipment

About Technology

Press space or enter keys to toggle section visibility

Technology enables every aspect of Macquarie, for our people, our customers and our communities. Were a global team that is passionate about accelerating the digital enterprise, connecting people and data, building platforms and applications and designing tomorrows technology solutions.

Our commitment to diversity, equity and inclusion

Press space or enter keys to toggle section visibility

We are committed to fostering a diverse, equitable and inclusive workplace. We encourage people from all backgrounds to apply and welcome all identities, including race, ethnicity, cultural identity, nationality, gender (including gender identity or expression), age, sexual orientation, marital or partnership status, parental, caregiving or family status, neurodiversity, religion or belief, disability, or socio-economic background. We welcome further discussions on how you can feel included and belong at Macquarie as you progress through our recruitment process.

Our aim is to provide reasonable adjustments to individuals who may need support during the recruitment process and through working arrangements. If you require additional assistance, please let us know in the application process.