Data Engineer

Do what you love. Love what you do.

At Workday, we help the world’s largest organizations adapt to what’s next by bringing finance, HR, and planning into a single enterprise cloud. We work hard, and we’re serious about what we do. But we like to have fun, too. We put people first, celebrate diversity, drive innovation, and do good in the communities where we live and work.

Job Description

Peakon, a Workday company is growing rapidly, and we’re looking for an Analytics Engineer to join the Data and Analytics team, to work on a range of data engineering tasks in order to establish Peakon’s foundation for better decision making.

Responsibilities:

• Analyze existing complex systems to understand and document data elements, relationships, data flow, dependencies, and related interfaces
• Help build analytics solutions consisting of data ingestion, staging, data warehouse and data access layer
• Work closely with data analysts to build and maintain KPI data dictionary, metadata and data standards
• Engage business teams to understand data requirements, document them and deliver robust and scalable solutions in the form of data models that can be leveraged for self-service analytics
• Support and maintain running data solutions

About you

You like to build and operate data solutions that make it easy for your colleagues to find what data they are looking for. You are passionate about data platforms, data modeling, querying and you know about the importance of having a good architecture. You enjoy implementing good data flows and transformations, documenting everything along the way.

Requirements

The successful candidate will have a good track record of building best practice data platforms.

They will have deep technical expertise, including techniques in extracting, transforming, loading and linking structured and unstructured data from numerous sources. We are a small team, still in the early phases of our BI journey and are looking for new team members who will be a solid fit with our culture and have a strong passion for impact.

More specifically:

• At least 3 years of experience working with data engineering / data warehousing as well as working with the business side
• Excellent knowledge of SQL
• Experience working cloud based analytics platform (eg. Snowflake or Azure DW)
• Data Warehouse experience (Kimball, Inmon, Data Vault 2.0)
• Experience working with dimensional modelling and data governance
• Experience with connecting to cloud data sources / APIs (eg. Singer)
• Experience with cloud infrastructure (eg. AWS)

Desirable:

• Experience in a SaaS business or a start-up/scale-up environment
• Experience with SaaS business data (eg. SalesForce, NetSuite, LinkedIN, Facebook, Google Ads)
• Experience working with Jira and Slack
• Knowledge of at least one scripted language (e.g. Perl, Shell, Python)

We welcome your application even if you do not meet all of the criteria - Peakon, a Workday company has a learning culture and will provide an environment that focuses on continuous improvement and growth.