Senior Data Platform Engineer

at  Macquarie Group Limited

London, England, United Kingdom -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate31 Jan, 2025Not Specified01 Nov, 20244 year(s) or aboveGood communication skillsNoNo
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Description:

Our Data Engineering team is at the cutting edge of data management and analytics. By joining us, you will become an integral part of a dynamic team dedicated to innovating and transforming how data is utilised across Macquarie. We focus on designing, implementing, and maintaining scalable data platforms that support our mission-critical analytics and high-volume, complex data processing needs.
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 Platform Engineer, your role is pivotal in leading the creation and optimisation of our data platforms. You will be responsible for driving innovation in data governance, quality, and security, ensuring our platforms can handle high-volume, complex data workloads with utmost reliability. Collaborating with various teams, you will deliver bespoke data solutions that empower our organisation to make informed, data-driven decisions. Additionally, you will mentor junior engineers, promoting a culture of excellence and continuous improvement in our data engineering practices.

What you offer

  • Significant experience in designing and managing enterprise-level data platforms within cloud environments, with a preference for AWS expertise
  • Expertise particularly in Python development, showcasing a history of developing maintainable, high-quality code
  • A strong foundation in Linux and containerization technologies, along with proficiency in SQL/DDLs, databases, data lakes, and query engines
  • Knowledge of modern data engineering tools and practices such as Airflow, Redshift, Hive, Trino, Spark, Glue, Kubernetes, BigQuery, and Kafka
  • 4+ years’ of relevant experience in a data engineering role.

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 our business, for our people, our customers and our communities. Bring your unique perspective and join a global team who is passionate about accelerating the digital enterprise, connecting people and data, building platforms and applications and designing tomorrow’s technology solutions.
Benefits

Macquarie employees can access a wide range of benefits which, depending on eligibility criteria, include:

  • Hybrid and flexible working arrangements
  • One wellbeing leave day per year and minimum 25 days of annual leave
  • Primary carers are eligible for minimum 20 weeks paid leave and minimum 6 weeks for secondary carer
  • Paid volunteer leave and donation matching
  • Range of benefits to support your physical, psychological and financial wellbeing
  • Employee Assistance Program, a robust behavioral health network with counseling and coaching services
  • Recognition and service awards

Our commitment to diversity, equity and inclusion
We are committed to providing a working environment that embraces diversity, equity and inclusion. As an inclusive employer, Macquarie does not discriminate on the grounds of age, disability, sex, sexual orientation, gender identity or expression, marriage, civil partnership, pregnancy, maternity, race (including color and ethnic or national origins), religion or belief

Responsibilities:

Please refer the Job description for details


REQUIREMENT SUMMARY

Min:4.0Max:9.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Graduate

Proficient

1

London, United Kingdom