Informacje o stanowisku

Creating an inspiring place to thrive for the talented, we use their expertise and courage to introduce the technology of the future into your business. - This is the foundation of Mindbox and the goal of our business and technology journey. We operate and develop in four areas:

 Autonomous Enterprise - automation of business processes using RPA, OCR, and AI.

Business Managment Systems ERP - we implement, adapt, optimize, and maintain flexible, safe, and open ERP of production and distribution companies worldwide.

Talent Network - we provide access to the best specialists.

☁ Modern Architecture - we build integrated, sustainable, and open CI / CD environments based on containers enabling safe and more frequent delivery of proven changes in the application code.

We treat technology as a tool to achieve a goal. Thanks to our consultants reliability and proactive approach, initial projects usually become long-term cooperation. For over 16 years, it has provided various services to support clients in digital transformation.

We are looking for a candidate with experience in leading/developing a data platform, you should also have hands-on experience in most of the following key areas:

•        Working with raw data, structured, semi-structured and unstructured data.

•        Experience combining large, disconnected datasets, using relevant tools and frameworks.

•        Building and optimizing ETL / ELT data pipelines

•        Experience of source control, Continuous Integration, Delivery and Deployment through CICD Pipelines

•        Knowledge and/or experience with Splunk, Kafka & Grafana is beneficial.

•        Supporting and working with BI and Analytics teams in a dynamic environment

•        Knowledge of Scrum, Kanban or other agile frameworks.

•        Work with Agile methodology, representing the Pod and Area lead in standups and problem-solving meetings.

•        Enables SRE culture through solving problems with data engineering.

•        Experience working in relevant market/context, i.e. IT in finance, is desirable.

•        Able to collaborate and effectively pair with other engineers/architects.

•        Strong analytical skills and problem-solving skills

•        Self-awareness with confidence to work independently and take responsibility for own development.

•        Excellent written and spoken communication skills; an ability to communicate with impact, ensuring complex information is articulated in a meaningful way to wide and varied audiences.

•        Willingness to undertake the training / study required in this role for new products and services.

Creating an inspiring place to thrive for the talented, we use their expertise and courage to introduce the technology of the future into your business. - This is the foundation of Mindbox and the goal of our business and technology journey. We operate and develop in four areas:

 Autonomous Enterprise - automation of business processes using RPA, OCR, and AI.

Business Managment Systems ERP - we implement, adapt, optimize, and maintain flexible, safe, and open ERP of production and distribution companies worldwide.

Talent Network - we provide access to the best specialists.

☁ Modern Architecture - we build integrated, sustainable, and open CI / CD environments based on containers enabling safe and more frequent delivery of proven changes in the application code.

We treat technology as a tool to achieve a goal. Thanks to our consultants reliability and proactive approach, initial projects usually become long-term cooperation. For over 16 years, it has provided various services to support clients in digital transformation.

,[       Work alongside our SME/Storage Architect to deliver a strategic solution that will uplift our monitoring and alerting capability to higher maturity levels, positioning us to deliver end-to-end observability.  ,        Support the design of the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using API’s, SQL and ‘big data’ technologies.  ,        Create and maintain optimal data pipeline architecture. Assemble large, complex data sets that meet functional/non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability. ,        Work with stakeholders to assist with data-related technical issues and delivery. Work with data and analytics experts to strive for greater functionality in our data systems. ,        Keep up-to-date and have expertise on current tools, technologies and areas like cyber security and regulations pertaining to aspects like data privacy, consent, data residency etc. that are applicable. Ensuring compliance with all relevant controls and standards Requirements: ETL, Data pipelines, CI/CD, BigData, Splunk, Kafka, Grafana Tools: Agile, Scrum. Additionally: Sport Subscription, Private healthcare, Life insurance.

Praca Warszawa

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