Data Engineer
Estonia; Poland
We are seeking a skilled Mid to Senior level Data Engineer to join our Data Team and collaborate with top-notch experts in the field!
You will be mainly focusing on an international financial institution to implement their new cloud-based data architecture using modern tools such as Snowflake.
In the long run, you will have an opportunity to be involved in various projects, from crafting ETL processes, and implementing data models to setting up data warehouses. Plus, there’s room to explore tasks like customer requirements gathering and dashboard building.
We’re flexible on tools, so you’ll gain hands-on experience with diverse technologies, putting your ideas into action.
We are looking for:
- At least 4 years of experience in working as SQL developer, Data Warehouse developer or Data Engineer
- Very good SQL knowledge
- Experience with dimensional data modeling
- Very good English language skills, both written and spoken
- Analytical mindset
- Ability and willingness to communicate to customers to clarify requirements and build solutions
- You are located preferably in Estonia or Poland
You will be doing:
- Data warehouse development using mainly cloud-based tools
- Participating in a modern agile development process with other Helmes team members
- Setting up ETL/ELT processes using Snowflake, as well as GUI-based tools
- Creating, implementing and clarifying data models, defining edge cases
- Conducting meetings with customers, gathering requirements and proposing solutions (if you’re interested)
- Creating visualisations on platforms such as Power BI and Tableau (if you’re interested)
What is in it for you?
- Opportunity to work with interesting data sets, various clients and challenging international projects
- Insight into different tools on Google, AWS and Azure clouds, as well as on-premises solutions
- Opportunity to use scripting, Python, and also GUI-based ETL tools
- A large degree of autonomy and a chance to take responsibility
- An experienced mentor who will guide you and provide you with feedback for fast development
- A minimum amount of bureaucracy, being part of a small, friendly, agile team
- Remote work is perfectly acceptable, and our team is open to flexibility
What to expect
A world-class workplace
We fully support hybrid work principles and ensure that every person and team have both comfortable and ergonomic workspaces. Our company offices are meant to be social hubs for Helmes people.
Supportive ecosystem for growth
We select the best talent and trust them to build successful businesses with their customers. The variety of customers, projects, and smart peers who surround you will enable you to fulfill your professional ambitions.
Balanced life
We care about people and invest in long-term relationships. We believe that the mental, physical, and emotional wellbeing of our employees is the very foundation of our best-in-class service.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture AWS Azure Data warehouse ELT ETL Power BI Python Snowflake SQL Tableau
Perks/benefits: Flex hours
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