Leapwork is the leading global AI-powered visual test automation platform, empowering the world's largest enterprises to adopt, maintain and scale automation in less than 30 days.
We have been identified by the world's largest, most recognisable software company, as having an innovative, disruptive product which has led to a recent strategic partnership.
Over the last 12 months we have made multiple A-player hires from some of the worlds largest, most recognisable and successful playbook companies such as Zscaler, AppDynamics, DataRobot & Harness into VP & C-Suite roles to assemble the best possible to team to take us on this next level of growth.
We are headquartered in Copenhagen, Denmark and have local offices across Europe, the US and Asia.
The role:
Are you passionate about transforming data into actionable insights? Do you thrive in dynamic environments where innovation and creativity are encouraged? Leapwork is seeking a talented and driven Data Engineer to join our expanding data team.
At Leapwork, we believe in leading with data. As our newest data engineer, you will play a crucial role in shaping the future of our data capabilities. You will be at the forefront of designing and implementing cutting-edge data solutions that empower our teams to make informed decisions and drive the business forward.
This role offers a unique opportunity to grow within our organization, taking on varied responsibilities and professional development opportunities across the data spectrum. Whether you aspire to specialize in analytics engineering, data science, or business analytics, or you envision a path to a managerial position, Leapwork provides the platform for your career advancement.
Join us and become part of a team that is dedicated to innovation, collaboration, and excellence. Help us leverage data to create impactful solutions and drive our mission forward.
Key Responsibilities:
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Collaboration: Mapping out the data requirements for Leapwork, working closely with stakeholders form cross-functional teams to understand how data can and should be used for decision making and analysis
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Data modelling: General support with development of our data architecture in Microsoft Fabric. Working with spark notebooks to clean and manipulate data in our data lake to create structured Lakehouse content
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Enhance data content: Setting up new data source connections to feed into our data lake, using tools such as spark notebooks, data pipeline and Dataflow gen 2
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Power BI development: Construction and maintenance of data models in Power BI. Including designing user friendly reports, manipulating data to be fit for purpose, and building visuals. As a report owner you will be responsible for the maintenance of the report, making sure it is updated and still relevant for end users
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Training and support: Provide training and support to end-users to ensure effective utilization of BI solutions and self-service reporting capabilities
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Drive development: Identify areas of improvement in the form of how we are working with and processing data, covering both end user actionability and back end development
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Documentation: Using Confluence and tools like Draw-io to document BI solutions, data models, and processes for knowledge sharing and future reference
Required Skills/Experience:
- A university degree in a technical subject, such as engineering, statistic, mathematics, computer science, data science, or information systems. Equivalent practical experience may also be considered for candidates with proven expertise in data-related fields
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Technical Skills:
- Experience working with Power BI, including creating dashboards, reports, and data visualisations
- Proficiency in SQL for querying and manipulating databases
- Basic knowledge of programming languages, preferably Python, for data processing and analysis
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Professional Experience:
- At least 2 years of technical experience in a professional setting, preferably in a BI or data analysis role
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Data Visualisation:
- Ability to choose appropriate visuals for different types of data and effectively communicate insights
- Understanding of how to tell a compelling story using data
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Business Acumen
- Strong understanding of how data can be leveraged to drive business decisions and improve processes
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Communication Skills:
- Excellent communication skills, able to work with stakeholders of varying seniority and from different departments to gather requirements and present findings
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Adaptability:
- Experience working in environments that are dynamic and rapidly changing, such as small teams, scale-ups, or start-ups
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Statistical Knowledge:
- Basic understanding of statistics and its application in a business context, including descriptive and inferential statistics
It’s a plus, but not a must, if you have:
- Understanding of Spark, version controlling (git)
- Experience working in an agile environment
- Experience with creating data pipelines, ELT/ETL processes, and API calls
- Experience working with Jira for task management, and confluence for documentation
Why Leapwork?
We are on an exciting journey of global growth – and this is your chance to get onboard, an opportunity to help shape the Data Function at Leapwork and work with and learn from a talented and passionate team committed to innovation and excellence
By joining our team, you’ll become part of a fast-paced international environment where you can grow, challenge yourself, and do what inspires you. We work hard, but have fun while doing it – and we believe that collaboration, social activities and celebration are keys to success.
Our Leapwork principles:
Our five key principles capture the essence of what it means to be a part of our world-class team! They are integral to how we approach our work and one another, and they serve as a roadmap to our continued growth, development, achievements, and success.
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Customer first; We listen to our customers, understand their pain points and focus on what matters to them.
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Lead from the front; Leading means guiding others towards the solutions to our challenges.
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Get it done; We make commitments, follow through and deliver work we’re proud of.
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Build excellence; We do our best work every day, holding ourselves and others to the highest standards.
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Respectfully different; We treat each other with respect, always. We’re different, not indifferent.