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Senior Data Engineer/Python developer v Praha – Chodov,… - Jobeax

Senior Data Engineer/Python developer v Praha – Chodov, Česko is listed on Jobeax. Browse 80,000+ vacancies available.

We are looking for an experienced Senior Data Engineer for our client, the biggest IT distributor in the world.

The company has built a strong data analytics capability, focused on creating predictive insights, automation of business processes and personalization of partner interactions. A crucial building block of their services is a comprehensive data insight into the market trends and opportunities.

Collaborates with the world's largest technology companies such as Microsoft, IBM, Apple, Cisco, HP, Lenovo, Samsung, Dell, Amazon, Autodesk and many others.

About the team:

You will be part of a European Data Practice center of excellence, which interconnects business needs with exceptional data solutions. The team has around 30 individuals of 9 nationalities with diverse professional and academic backgrounds, including telco, banking, insurance, life sciences, or physics.

We tackle problems from following areas:

Data integrations (inbound and outbound integrations across multitude of systems including ERP, CRM, E-Com platforms, and more),
data processing and storage (lake house/feature store spanning over hundreds of data sources),
process automation (platform for automating marketing and sales interactions triggered by machine learning and business rules),
machine learning (advanced propensity-to-interaction prediction models, piloting interpretable customer churn models, product recommender systems, models estimating delivery times and more),
and others like web-based application enabling data exploration and discovery.

In this role you will be:

Writing clean, production-ready well-documented code,
participating on design, implementation, and maintenance of existing and future data products,
obsessed with quality and on-time delivery,
contributing to development and adoption of best engineering practices,
collaborating with both Data Practice peers and business stakeholders within the organization.

The skills & knowledge you should bring include:

5+ years of data engineering/software engineering or equivalent experience,
advanced knowledge of Python, including data processing and analytical libraries,
working knowledge of OOP and design patterns,
advanced knowledge of SQL,
working knowledge of ETL/ELT, RDBMS, and data modeling,
proficiency in designing, implementing, and supporting data-intensive applications and solutions in a production environment,
hands-on experience with modern lake house architectures (Snowflake) and distributed computing systems (Spark/Databricks),
working knowledge of CI/CD, including but not limited to version control, testing, release management, monitoring & operation tracking (Azure DevOps),
proactive and self-motivated,
sharp business and interpersonal skills, ability to simplify and communicate complex ideas across all levels,
experience with MLOps is a plus.
BSc/MSc/PhD in Computer Science or another STEM field is a plus.

We can offer you:

Working on large scale end-to-end systems using modern cloud-based tools,
opportunity to grow professionally and personally,
seeing an impact of your work,
working with the team of enthusiastic data professionals (who happen to love board and video games),
stable environment with startup-like dynamics,
agile and experimental way of working,
5 days of extra holidays (total of 25days),
2 sick days per year (fully paid),
meal allowance,
multisport card contribution,
pension insurance contribution,
well-being days,
accident insurance,
mobile phone allowance,
unlimited mobile phone tariff (unlimited calls/data),
support for the personal development - trainings (Soft skills courses library; Rich Databricks training library of paid courses free use for employees; Power BI training library),
couple of Udemy licenses available within the team,
opportunity to buy technology products from our warehouse with a discounted price,
refreshment in the office,
home-office: 2 days a week, Thursday and Friday.

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