Data Engineer

Neocles | Amsterdam

Date listed

4 weeks ago

Employment Type

Full time

Glassdoor Rating

4/5 (12 reviews)


• Strong analytic skills related to working with datasets, preferably a university degree in Mathematics or Software Engineering;
• Minimum 3 years of experience building and optimizing data pipelines, architectures, and data sets;
• A successful history of loading, manipulating, processing, and extracting value from large disconnected datasets using ETL;
• Advanced knowledge of query languages like SQL or HQL and working familiarity with a variety of databases
Preferred working knowledge of stream processing;
• Experience with non-relational & relational databases like Postgres, Redshift, Cassandra, Data Explorer, etc.
• Experience with scripting languages (e.g. Python, Ruby, Groovy) or programming languages (C#, Java, Go);
• Preferred familiarity with Azure data technologies and services, or AWS/GCP.

We offer:

• Unlimited study: courses, coaching, conferences
• Quarterly OKR-based planning
• Re-evaluation of professional development & salary plan
• 25 vacation days, public transport compensation, pension plan
• Indefinite contract (two months’ probation)
• Distributed teams across Ukraine and all over Europe
• Innovative, cross-cultural, and service-oriented working environment
• Friendly and supportive atmosphere with a lot of challenges and humor
• We're a recognized Immigration and Naturalisation Service (IND) sponsor

You'll be:

• Be a formative member of the newly created and cross-functional Route to Data team;
• Support our users with effective decision-making and risk management working closely with our leadership team and Product Owners;
• Develop and execute a scalable data strategy, including architecture classification, and privacy;
• Build the data pipelines required for high-quality data extraction, transformation, and loading from a wide variety of data sources, including client ERP’s and third parties, using cloud-native big data services from Azure;
• Deploy analytics tooling that to provide actionable insights into customer usage, operational efficiency, and other key business performance metrics
• Work with stakeholders including the Reporting Analysts to assist with data-related technical issues and support their data (infrastructure) needs;
• Deliver a continuous flow of value with innovative analytical solutions within our Sprints;
• Improve constantly, bring new ideas, and co-pilot our clients.

Interviewing process (10 days):
1. HR- Interview with Natalia
2. Technical Interview with engineers
4. Cultural Fit Interview (COO, Sohrab and CEO, John)

About us:

The product: Sales & buying application for leading brands
The stack: C# | .NET | Angular | Azure | Elastic | Kibana | Nativescript and more
The clients: PUMA, Bestseller, Ecco, Brooks & Esprit (and more to come)
The team: ± 45 people (over 90% is in a scrum team) based in Amsterdam & Kiev

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