Data Engineer

Macquarie Bank Limited; London; On-site; GBP 40,000 - 80,000; Full time

Job summary

Join a dynamic team in London as a Data Engineer, where you will enhance data analytics capabilities and work with cutting-edge technologies. This role offers the opportunity to collaborate with traders and analysts, utilizing AWS cloud and various analytics platforms to deliver impactful solutions. You'll be part of a diverse and inclusive environment that values your contributions and encourages innovation. If you are passionate about data and coding, and eager to make a difference, this is the perfect opportunity for you to thrive in a supportive setting.

Qualifications

• Proficiency in SQL and Python is essential for this role.
• Experience with AWS and analytics platforms is required.

Responsibilities

• Develop and enhance data analytics capabilities.
• Work with public-cloud based data lake and data pipelines.

Skills

SQL

Python

AWS

Redshift

Dataiku

Alation

Presto

Airflow

Effective communication

Tools

AWS cloud

Data analytics platforms

Open-source technologies

Job description

Our London Data and Analytics team collaborates closely with traders, desk analysts, and central data teams to deliver data and analytics solutions across our Commodities and Global Markets business lines. We focus on developing data analytics capabilities and solutions, including data catalogues, data science workbenches, visualisation tools, and real-time analytics.

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 34 markets and with 55 years of unbroken profitability. You’ll be part of a friendly and supportive team where everyone - no matter what role - contributes ideas and drives outcomes.

What role will you play?

As a Data Engineer, you will work directly with our business to develop and enhance data analytics capabilities. You will work with our public-cloud based data lake, data pipelines for internal operations, and external market data. Your role involves using AWS cloud and analytics platforms such as Redshift, Dataiku, and Alation, as well as open-source technologies like Presto and Airflow. You will ensure that our technical solutions provide real value to our business.

What you offer

• Proficiency in SQL and Python
• Experience with AWS cloud and analytics platforms such as Redshift, Dataiku, and Alation
• Familiarity with open-source technologies like Presto and Airflow
• A passion for data and coding, with a focus on user experience
• A learning mindset, can-do attitude, and effective communication skills
• The ability to work on innovative projects and respond quickly to business needs

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.

About Technology

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

Our commitment to diversity, equity and inclusion

We are committed to providing a working environment that embraces diversity, equity, and inclusion. We encourage people from all backgrounds to apply regardless of their identity, including age, disability, neurodiversity, gender (including gender identity or expression), sexual orientation, marriage or civil partnership, pregnancy, parental status, race (including ethnic or national origin), religion or belief, 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 as required during the recruitment process and in the course of employment. If you require additional assistance, please let us know during the application process.