Senior Data Engineer in marketing & sales domain with data modelling skills

🌍 Work mode – 100% remote.

💰 Rate – up to 205 zl/h.

⏳ Contract length – 3 months with extension.

⏰ Start – ASAP/ April 1.

📕 Language – English.

✈ Business trips - limited business travels to Warsaw, Poznan and Copenhagen.

Project Description:

We are building advanced analytics toolset and analysis for marketing and sales domain on global level. We are just starting building data domain for Sales&Marketing so you will be key figure into shaping it on global level. We work in SCRUM, we use Jira to organize whole project from top to bottom.

Responsibilities:

• Enhance existing Data Lakehouse on Snowflake with new datasets.
• Building data vault from scratch.
• Organize and enlarge sales&marketing data domain to serve data for multiple projects using DBT.
• Create final (gold) layer for specific use cases using DBT.
• Organize and enhance data pipelines.
• Further automate processes on all stages to smoothly serve data.
• Support our stakeholders with ideas and solutions for further improvements and possible use cases.

Requirements:

• Min. + 5 years of experience (with DBT and snowflake less as this is new technologies).
• DBT with snowflake under.
• Ginger (similar to Python).
• SQL.
• Need to have strong hands-on experience with data modelling incl. design patterns (star, snowflake, vault, etc.).
• Need to have strong hands-on experience with CI/CD (Git, preferred: GitHub, Gitops)
• Need to have previous consultant experience.
• Relational databases.
• English C1 proficiency.

Big advantage:

• Python.
• Domain knowledge in one of the areas: Marketing, Social Media Campaigns, Marketing Funnel process.
• Azure (focus on Azure functions, Azure Blob Storage).
• Data architecture skills.
• Data integration skills.
• IaaC concepts.

Nice to have:

• Jinja.
• PowerBI.
• Supermetrics.
• Have a BI or BA (Business Analyst) experience.