Opportunity summary

As part of our Artificial Intelligence Team, you will help out shaping the future of our software.

If you are a candidate with 3+ years of experience in a Data Engineer role, who has a degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field, you are a great fit for this position.

You will develop, test and also maintain data architectures to keep this data accessible and ready for analysis. Among your tasks, you will do Data Modelling, ETL (Extraction Transformation and Load), Data Architecture Construction and Development and also Testing of the Database Architecture.

About the project

Our projects can range between 8 and 20 weeks, while an account usually addresses several projects with different deliverables. We also love to get involved in any kind of AI related activities, be there in the discovery, prototyping, or implementing phase.

Often we also deliver joined-effort projects, either for internal purposes or to help customer reach their goal, relying on the collaboration with other teams: IoT, SAP, Hybris, RPA.

The projects we deliver are mainly focused on Digital Manufacturing Industry, but sometimes opportunities come from other industries such as Financial or Retail.

Your team

The team involved in delivering AI solutions and services often consists of Data Engineers, Data Scientist and Machine Learning Engineers, as part of the Delivery Team in which several other roles are present: PM, Business Analyst, UX Designer, Application/DevOps Architect, Frontend and Backend Developers, QA Engineer.

 

Your role

  • Create and maintain optimal data pipeline architecture
  • Assemble large, complex data sets that meet functional / non-functional business requirements
  • Identify, design, and implement process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Cloud ‘big data’ technologies
  • Build/use analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs

Match your skills

  • Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field
  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
  • Strong analytic skills related to working with unstructured datasets
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management
  • Knowledge of manipulating, processing and extracting value from large disconnected datasets
  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
  • Experience with:
  1. big data tools: Hadoop, Spark, Kafka, etc.
  2. Azure cloud services
  3. Stream-processing systems: Storm, Spark-Streaming, etc.
  4. Object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
  • Basic knowledge of Visualization tools: PowerBI, Tableau, etc

Willing to develop 

Knowledge of: 

  1. relational SQL and NoSQL databases, including Postgres and Cassandra
  2. data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  3. extensive knowledge of Visualization tools: PowerBI, Tableau, etc. 

At Accesa you can

Join self-managed communities of IT experts that co-design their own learning programs. 

Be part of a cell-based organization where we favor agility over rigid processes and freedom over control. 

Enjoy a holistic benefits program which empowers your: 

  • Work-Life Balance: home office, flexible schedule, parenting workshops, vacation package 
  • Physical Well-being: in-house fitness instructor, themed workshops, nutrition counseling, private medical insurance 
  • Social Well-being: hobby clubs to support your passions, improve workshops, team building activities, social events 
  • Emotional Well-being: in-house certified coach, focus and mindfulness apps, emotional intelligence (EQ) workshops, CPI personality assessments

Join the team

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München

München, Germany
Phone: +49 89 2154 851 15

Zürich

Wallisellen, Zwirnereistr. 22
8304 Zürich, Switzerland
Phone: +41 44 830 92 30

Cluj-Napoca

Constanta 12, Platinia
400158 Cluj-Napoca, Romania
Phone: +40 364 115 115

Oradea

Cetatii Square 1, Oradea Plaza
410520 Oradea, Romania
Phone: +40 364 115 115

Whether you’re interested in our services or you would like to learn more about our company, we are happy to provide you with the information you need.