Lublin,  Wrocław,  Remote.PL,  Kraków
Remote work
Lublin,  Wrocław,  Remote.PL,  Kraków
Remote work

About the vacancy

Our client is one of the biggest online retailers worldwide with yearly revenue of £2+ billion. We have a long history of relationships and over the years have helped the client to develop web-portals and mobile apps, delivery control systems, staff management tools, data storage and much more. The systems we’ve built together work in production 24/7.

DataArt provides consultation and development of the software for the client in both areas of their activities: online sales and creation of a proprietary world-class suite of solutions for operating grocery businesses.

As a Data Engineer, you will be responsible for implementing data processing workflows, designing and building data marts to serve specific business lines. That gives you a unique opportunity to work with and influence how top technologies provided by Google Cloud Platform (BigQuery, DataFlow, Cloud Storage) will evolve - the same that Google is using internally to process extreme amounts of data.

You are responsible not only for development, maintenance and support of scalable and well monitored data processing workflows in batch mode but also driving the change toward streaming data processing.

You will be expected to work closely with the product manager to identify and scope projects, plan those projects and effectively communicate advanced technical issues and findings to a range of technical and non-technical internal audiences. You are also an advocate of Data Driven paradigm and will be able to evangelize others about data processing best practices.

Responsibilities

  • Build data orchestration tooling for a datalake
  • Create company-wide best practices in data transformation
  • Serve as an evangelist for the Data-Driven / Informed approaches
  • Constantly look for improvements and learn from our mistake
  • ​​Collaborate with the team to set technical direction, working on requirements and design issues, making sure the software developed meets the standards and business objectives, and that all projects are accurately estimated and delivered on schedule
  • Perform research, development, and optimization
  • Take part in all stages of systems development, such as requirements collection, systems, and data design, software construction (coding), deployment of code to production, system support and maintenance, production issues resolution, performance tuning, code review, and change control

Must have

  • Strong SQL knowledge
  • Working experience with Java 8/11
  • Solid understanding of databases and best engineering practices
  • Familiarity with data structuring, design skills
  • Knowledge of distributed computing
  • Good spoken and written English

Would be a plus

  • In-depth understanding of Google Cloud Platform (especially Big Query, Cloud Storage)
  • Experience with Python
  • Familiarity with TDD

Learn more about our policy of equal opportunities in employment

Work at DataArt is

People first

Our relationships with clients and colleagues are based on mutual respect, no matter what differences we may have.

  • Long-term partnership
  • Respect for individuality and freedom of expression
  • Flexible schedule, comfortable offices, and the ability to work from home
  • Market-driven compensation and health care
  • High quality internal administrative services

Expertise

Get the opportunity to unleash your potential in DataArt's ecosystem

  • Highly qualified team
  • Communities and knowledge sharing
  • English classes
  • Internal educational system

Flexibility

Freedom to explore and opportunities to get new experience and knowledge. Constant willingness to change

  • Work contract with DataArt, not project based employment
  • Flat structure
  • Minimum rules
  • Rules and policies change with context, while values stay the same
  • Easy movement among offices and opportunities for relocation

Trust

The ability to count on each other and the willingness to trust people lies at the heart of relationships in DataArt

  • Management via context, bottom-up decision making. We avoid micromanagement
  • Clear equal rules and policies
  • Fair management
  • No ranking vs others, no regular reassessments. Fair seniority assessment

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