We are looking for a experienced junior or mid-level Azure Data Engineer/Consultant who wants to take their career to the next level.
Are you passionate about how AI and analytics can extract value from data and add business value?
At Data-Driven we help businesses navigate the complex data landscape and unlock the value that their data holds using advanced analytics. We have a strong track-record of successful solutions and happy customers, and we don’t cut corners!
Our data engineers usually come from a software engineering background and are happy analyzing a big dataset, deploying a serverless function to ingest data or building a Power BI report.
Who we are looking for:
- Someone who gets excited talking about data, analytics and AI/ML
- Ability to talk to customers and see through the noise to get to the value
- Someone who focuses on adding business value enabled by technology
- Someone who believe in Occam’s Razor
Required Skills:
- Data Engineering skills (ADF, SQL, Python, ETL concepts, data pipelines etc)
- Azure Data Architecture (PaaS, Serverless etc)
- Usual data concepts like Data Lake design, ingestion patterns, data cleansing, wrangling, etc)
Bonus points for:
- Understand of Machine Learning fundamentals (you don’t need to be a Data Scientist)
- Prior consulting experience – you don’t have to face clients – we want data engineering experience
- Databricks or Spark (we use Python and Spark a lot)
- ML Ops / DevOps experience
- App/API Dev background
- BI/Warehousing experience
- Big Data experience
Perks of working at Data-Driven:
- Continual learning in an exciting area of technology
- Above market-rate salaries
- WFH days as part of our Flexibility policy
- Mentorship Program with personalised career plan
- 10 days for certifications / training / events
- 1 additional day of leave for every year you have been
- Top of the range laptop
- The opportunity to take the role in the direction of your choosing
Azure-certified Data Architect with a focus on delivering business value and guiding customers through the maze of analytical architectures, design and implementation activities.
Experienced in setting up modern data platforms with advanced predictive analytic workloads. Brings strong people skills and a devops-centric, entrepreneurial approach to Enterprise software delivery.
Experienced in setting up modern data platforms with advanced predictive analytic workloads. Brings strong people skills and a devops-centric, entrepreneurial approach to Enterprise software delivery.
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