If you are the kind of person who believes the answers are found in data. If a love relationship with data also extends to spreading the word on Data Culture; then hello there! Blocket is looking for you.
We are convinced it's a match made in data heaven (all our analytics services in the cloud. Pun intended!). We can offer huge amounts of data to work with: 5 million users every week contribute to an endless supply of data and insights. Every week, every day, all year long.
Your mission, together with the rest of the Insight & Analytics team, is to collaboratively drive a data-first culture across Blocket. With such a mission we contribute to endless opportunities for everyone while at the same time reducing the carbon footprint for the people of Sweden. That is creating WOW!We are Blocket, Sweden's largest and most popular marketplace with around 12,3M monthly active users generating over 100 million sessions. We are proud of our impact on second-hand trade in Sweden, enabling more sustainable ways of shopping. Want to get a feel of the Blocket vibe? Check us out on Instagram & LinkedIn and read more on Begagnateffekten!What you'll be up to
Blocket is a marketplace but it's really an ensemble of marketplaces that all stem from the well known blocket.se för second-hand goods. Blocket is built on different technologies and the product domains look different depending on the different marketplaces; Generalist, Motor, Real Estate, Jobs and Education - hence the data looks different too.
As a data engineer in Insight & Analytics you will play an important role in the data value chain, making sure that we integrate and retrieve the right data in an efficient and correct way. But also enable that data for analysis and Visualization in tight collaboration with Data Analysts and other data consumers in Blocket as well as Schibsted.
Schibsted has its own tracking service and a lot of the behavioural data is fetched from a Schibsted central storage/service. And as our products evolve, so does our data. Blocket is in a state of technical change and many new technologies emerge that make it easier and faster to consume data from different services, which means that we always need to keep scalability and continuous integration in mind, bet the most important thing is to keep in mind that all the data we engineer has a purpose and as a data engineers to make sure the data you engineer fits the needs of Blockets data consumers.Who you are
You have passion for data, big as well as small. You feel comfortable relating your engineering work to analytical questions important for our business and the development of our product. So having a supportive approach to colleagues and making sure the data you engineer have the desired impact is of real importance for you.
You find it easy to balance short term value and long term scalability and have a pragmatic approach to a perfect solution vs. a working solution. You are familiar with and enthusiastic about engineering best practices such as testing, continuous integration and continuous delivery. Even though you are a technical savvy person you agree that the real value lies in being a strong team player who is proactive in collaborating with others. Most importantly; you enjoy the challenge of learning new things and pick up/adapt to changes faster than your peersWhat you know
- Solid SQL knowledge
- You know your way around analytic / window functions
- Structuring queries using CTEs feels natural
Developing and deploying Python projects
- Work with PyPI packages & virtualenv
- You've done your fair share of automated unit- / integration testing
- Occasionally you've built or modified CI/CD pipelines
Building & automating cloud infrastructure (we use Pulumi + AWS), including..
- Virtual servers & container services
- Block storage, object storage & log management
- Networking, security rules & load balancers
- Secrets management & IAM
Hi! I am your new colleague, Emil.
- Have a solid working understanding of various approaches to ETL / ELT processes (we use
- Worked with orchestration tools like Airflow & Luigi before
- Have experience working with streaming data using Kafka for data ingestion
- Have experience from working with Spark (we use PySpark mostly, on Databricks)
- Already know your way around core AWS cloud infrastructure services (EC2, S3, IAM, ECS, Route 53, ELB..)
- Are passionate about cross functional work with Data Analysts
- Have a nag for Data Warehouse architecture and data modeling
My name is Emil and I'm 31 years old. I am fairly new at Blocket, although I have been working in Data & Analytics for over four years in different roles and companies. As a Data Engineer I enjoy making data understandable, whether it be by transforming raw data into an easy-to-consume format for business users, or by simplifying and optimising a data warehouse model. Working with large amounts of data from the most popular marketplace in the country while serving an environmental purpose makes it really fun and fulfilling to work at Blocket.Hello! I'm your new colleague, Johan.
I've been at Blocket for a bit more than 3 years, currently as the Lead Data Engineer for Insights & Analytics, and I've spent the last 6-7 years of my career focused on various different data-oriented roles. Before that, I come from a background in infrastructure automation, system & database administration, and a bit of application development. At home we're a family of 5, with my wife, a daughter who's in school, and two younger sons. Having a 2yo (the youngest) can be challenging at times, but they're also adorable, so there's that. Time "off" is spent doing house renovations, playing video games, and usually watching a bit of Netflix in the evenings with my wife. Blocket has been, decidedly, the best workplace I've had so far - we have a great team, work for a company that has a positive impact, and get to wrestle with plenty of interesting data sources!Hi, I am your new manager!
My name is Lukas and I've been with Blocket for about 4 years. I've worked in analytical and data related roles throughout my entire career, although the contexts have changed over the years. My goal as a manager is to create the best possible conditions for our team to thrive. I try to keep a personal touch in my leadership, strive for a transparent and feedback oriented culture. Honestly, I don't spend as much time "hands-on" with data as I would like, but when I do - I enjoy it immensely. When I'm not working I try to spend as much time as I can with my family (4 daughters and wife) but try to squeeze in as much time on my skateboard/snowboard or in the saddle exploring the unpedaled roads on my bike. I do bring out the guitar for birthdays and live music quizzes, motivation rather than talent though. Come join our team, it will be loads of fun! :)Interested in joining the Blocket world?
We look forward to hearing from you! Send your CV or apply with your LinkedIn-profile and let us know what makes you tick. We would love to get to know you a bit better! Questions - feel free to reach out to email@example.com.
PS: Due to the global situation we are currently not offering any relocation or work permit help.#LI-BLOCKET-TECH#LI-BLOCKET
Buzz: Data Analytics, Data Science, Data Visualization, Tableau, BI, SQL, Data Modelling, Exasol, Alation, Databricks, Python, R, Google Analytics, Google Data Studio, Optimizely, Actionable Insights, User Data, User Centric, Data First, Data Driven, Data Culture