Senior Data Engineer
Australia
Mediabrands
The world has changed, so we have too. We’ve reengineered the very core of our business to guarantee we keep pace with a consumer that moves faster than ever before.
About KINESSO
KINESSO is the global technology-driven performance marketing agency that sits at the very heart of IPG Mediabrands, providing actionable growth for both our agency partners and clients. We turn ‘action’ into ‘outcome’ for our clients, leveraging our unique capabilities in optimization, analytics, AI and experimentation. KINESSO has brought together the collective power of what was formerly Matterkind, Reprise, and Kinesso under one collective entity that will serve as the most powerful delivery engine in the industry. The company has more than 6,000 employees operating in more than 60 countries. Learn more at www.KINESSO.com
The Role
The Senior Data Engineer is responsible for the creation and maintenance of ETL processes into and out of the data warehouse, data management and modelling, and Data as a Service products. This role also requires the ability to think logically and critically to solve complex problems or build business rules using data. Practical experience with Python and SQL is essential for the role, as is a working knowledge of cloud computing and data warehousing concepts. A substantial portion of the role includes interacting with APIs, data pipeline creation, troubleshooting, data discovery, data modelling.
Key Responsibilities
- Creation and maintenance of data pipelines from AdTech platforms
- Data cleansing - troubleshooting, fixing errors and identifying discrepancies in data when onboarding new sources.
- Engaging with internal and external stakeholders
- Working with BI Engineers and Data Scientists to confirm data quality.
- Provide input to project planning, status, and review meetings.
- Requirements gathering
- Query data using SQL including the creation of logical schemas and tables.
- Provide input to project planning, status, and review meetings.
- Mentor and grow team members.
About you
- 3+ years’ experience in data engineering or equivalent role.
- Strong Python skills with proven experience
- Proven experience in building data warehouses and ETL workflows
- Knowledge of cloud data warehousing
- Experience with Airflow and Kubernetes
- Experience with AWS & Snowflake
- Experience with API’s
- Experience manipulating and extracting data using SQL.
- Proactive
- CI/CD exposure such as GitHub actions, Docker commands, shell interaction.
- Ability to provide input to project planning, status, and review meetings.
Why join KINESSO?
- Largest global digital marketing agency with 6200+ experts across 60 offices globally.
- Take the time you deserve with unlimited time off (Leave+), birthday, anniversary, monthly wellness days and progressive parental leave policies.
- A hybrid working model and incredible office culture. with opportunities for global transfers, internal secondments, and travel.
- Mentorship programs, learning modules and professional skills training to support your career ambitions.
- Wellness programs including access to an EAP and wellness coaching
- Agency perks, early finish Fridays, culture club, breakfast, health and wellbeing initiatives
- Interested?
Please click apply, and tell us why you think you would succeed with Kinesso enclosing your CV.
We value unique backgrounds and experiences to encourage and celebrate diversity. First Nations people, those identifying as LGBTQ+, people of all ages, people with disabilities, and people who are culturally and linguistically diverse are encouraged to apply. Our aim is to create a workforce that reflects the community in which we live. We thank all applicants for their interest in IPG Mediabrands. However, only those candidates selected for an interview will be contacted.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow APIs AWS CI/CD Data management Data pipelines Data quality Data warehouse Data Warehousing Docker Engineering ETL GitHub Kubernetes Pipelines Python Snowflake SQL
Perks/benefits: Career development Health care Parental leave Unlimited paid time off Wellness
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