Data = information = knowledge = power. Do you want to hold the keys to that power? Are you motivated by solving challenging problems, where creativity is as crucial as your ability to write code, deliver solutions, and bring valuable data sets together to answer business questions?
If this sounds like an environment where you will thrive, come and join our Data Engineering team. Interested? Cause we are!
As a Data Engineer, you will work as a member of the Data Engineering team to ensure the highest quality data is made available for swift analysis and BI report generation. You will help to architect and further develop the data processing pipeline. You should have extensive experience in the creation, development, and business usage of extremely large data sets. You should be eager to work with massive data sets, someone who loves to bring data sets together to answer business questions, drive change, and deliver answers.
On a typical day, while working closely with analysts and managers, you will improve the data processing and modeling pipeline by providing high-quality designs and structures to feed our self-service platform.
You will spend a lot of time identifying ways to make our platform better, working with various data, and transforming that data into solid solutions that make business decisions easier. You will help to provide value by enabling better self-service for other Dynatracers. This is an exciting opportunity to make a direct, tangible impact on our product and work on our crucial Digital Business Platform.
We guarantee plenty of challenges and scope to grow.
Develop new capabilities in our data warehouse(s) and ELT pipeline(s) in most complex data environments
Improve existing patterns and frameworks for quickly aggregating millions of raw data records into actionable metrics
Coordinate with key stakeholders (including BI expert, analytics team, and product management) to deliver and optimize data sources to address specified business requirements
Improve the reliability, flexibility, and scalability of our existing tools
Engage in processes ensuring the highest security standards in controlling data access
Priority skills & experience
3+ years professional experience as a software engineer or data engineer
Strong SQL experience and good experience in at least one high level language
Good English communication skills.
Desired skills & experience
Experience with cloud platforms (AWS/Azure/GCP)
Knowledge of modern, cloud-based data pipeline best practices
Experience in building reliable, performant streaming and batch processing data (ELT/ETL) pipelines
Strong work experience in data warehousing and business intelligence in an enterprise setting
Experience with cloud data warehouse platform(s), preferably Snowflake
Experience in enabling an organization to become highly data-driven
Experience in building and running continuous integration pipelines
Experience in data structure optimization
Experience as a Product Owner
Experience as a Scrum Master
Experience as a Team Leader
Expertise in data analysis
We are the #1 Tech Employer in Austria (2021 ranking by trend magazine, statista & kununu).
The world’s largest enterprises use our solution, including more than 70 of the Fortune 100 companies.
We are a one-product software company with a flat hierarchy, with over 750+ software engineers.
International working environment with English as our corporate language.
We believe in an outstanding employee experience, a culture of innovation and autonomy, along with an entrepreneurial mindset as the basis for an exceptional product that provides real value.
Due to legal reasons we are obliged to disclose the minimum salary for this position, which is € 45,000 gross per year based on full-time employment (38.5 h/week). We offer a higher salary in line with qualifications and experience.
Due to the Covid-19 pandemic and to keep our Dynatracers safe, we adapted to a hybrid working model (partly Home Office, partly at the Office). In the Post-Covid 19 reality, there will be the option to choose between a hybrid (mix of Remote Work and at the Office Work) or full onsite (at the office) working model.