Data Engineer
7 months ago
Life at Winningtemp
Winningtemp offers the market an unique and revolutionary technology for creating successful work places. This is done by collecting and visualizing real-time data that describes the employee's experience of leadership, meaningfulness, control and joy at work.
Today, Winningtemp consists of a wonderful and ambitious group of 115+ people in the offices in Gothenburg , Stockholm , Oslo and London . The head quarter is newly renovated (of course with a lot of purple) in the middle of central Gothenburg.
At Winningtemp we care about the well-being of our employees and therefore we of course work continuously with our own tool to be an attractive employer. We have grown by over 2100% in recent years and we continue to grow.
By 2024, our goal is to make an impact on more than 4 million people through our product.
So what is the role about?
As a Data Engineer at Winningtemp, you will work with many different internal stake holders, with a focus on maintaining data, creating data tools and improving internal processes within your area.
Your mission is to ensure that our data generates actionable and valuable results for the business, and ultimately our customers. You will have an important role linked to an important mission of ours; to become One Winningtemp throughout the whole organization.
Other areas of responsibilities;
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
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and DataBricks ‘big data’ technologies
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
Work with internal stakeholders to assist with data-related technical issues and support their data infrastructure needs
Keep our data secured and compliant across national boundaries
Create data tools for business and product team members that assist them in building and optimizing our business operations and product into an innovative industry leader
Work with data and analytics experts to strive for greater functionality in our data system
Your team and manager
In this role you will work close to our senior Data scientist, Miroslav, someone you will have daily communication with. Miroslav has two PhDs, including one in artificial intelligence from Stockholm University. He has eight years of experience in academia - during which his research was funded by some of the most prestigious fellowships available, including the Marie-Sklodowska Currie Fellowship. Miroslav works in Stockholm, but this position is also available in Gothenburg.
Miroslav is a very appreciated colleague, dedicated and eager to share his knowledge and experience in the field, everything to make you learn as much as possible.
In this role, you will also be working close to all our different departments, meaning you will have collaboration over the whole organization.
You will be reporting to our CFO and be a part of his team. The CFO is situated in Gothenburg.
Are you the one we are looking for?
Winningtemp is the place where we all succeed together, something that you also feel is essential in your daily work, teamwork makes the dreamwork . You are therefor a team player and enjoy sharing ideas and learnings with the people around you.
You appreciate to plan your work well , and always complete what you've started . You set high goals for yourself , and always does what it takes to achieve good results . In addition to that, you look outside the box to think in new ways , meaning you are good at finding solutions to problems that arise. You are up-to-date in your area of expertise, and you have a great interest in always learning more about new techniques and systems within your area.
You have 4+ years of experience in a Data Engineer role, and you have a degree, or its equivalent, in Computer Science, Statistics, Informatics, Information System or similar. You have advanced SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. You have been building and optimizing ‘big data’ data pipelines, architectures, and data sets. You have been working with structured and unstructured datasets , and you are used to build processes supporting data transformation , data structures, metadata, dependency, and workload management. You have successfully manipulated, processed, and extracted value from large disconnected datasets.
You have experience in using one and/or several following software and tools:
Big data tools: Spark (preferred), Hadoop, Kafka, etc. Relational SQL databases Data pipeline and workflow management tools Azure Databricks, Data Factory or similar Object-oriented/object function scripting languages: Python, R or similar Experience with business intelligence tools, for example Power BI Nice to haves:
No worries if you do not experience in all of the areas and/or tools, we will guide you along the way
What's in it for me?
Why Winningtemp?
As an employee at Winningtemp, you will be part of our purple family
With us, you will find energetic and loyal colleagues who help each other succeed together. With us, everyone is equally valuable, regardless of gender, ethnicity and background. Diversity is also something we work actively with and something we value. We share happiness every day, not only for our product and the work we do, but also for each other. The commitment of each employee is what really makes us stand out from other companies. You can expect a supportive workplace where everyone works together towards our vision; to forever change how people succeed together
We promise you; you will be impressed
Our recruitment process includes;
Personality and logical test -> Interview with recruiter -> Interview with the future manager -> Interview with closest colleague -> Reference check -> Offer
We handle applications continuously so don't hesitate to apply as soon as possible
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