Data Engineer
Daniel Wellington AB / Elektronikjobb / Stockholm
2020-10-16
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hela Sverige Daniel Wellington is a Swedish company with offices located all around the world. We are a truly global brand who have sold to almost every country worldwide. We have since our inception in 2011 challenged the industry by going our own way and we are always looking for brilliant people that want to grow together with us. We give you the possibility to influence, take ownership, and be a part of a journey that only just begun.
Join us in realizing better decision-making through trusted data.
YOUR CHALLENGE
As a part of the Business Intelligence team at Daniel Wellington, you will get the opportunity to shape the data warehouse that services everyone in the organization.
WHAT WE EXPECT FROM YOU
Design and build data models for complex business processes that are agnostic of our ever-changing source systems
Create data tools for analytics and work with stakeholders across all departments, to address their data infrastructure needs and resolve data related technical issues
Directly contribute to the design and code of the data pipelines operating on a secure, production data
Play a proactive part in owning your team's services; taking responsibility for support, monitoring, measuring performance and addressing technical issues when required
Demonstrate an appetite to try new approaches, staying up to date with market trends and advances in data platforms
Build your brand and make the most of promoting your great work both internally and externally
Conduct code reviews, pair programming and knowledge sharing sessions whilst embracing feedback at every step
Create and maintain quality technical documentation for any software you have developed, ensuring maintainability, readability and testability
Be an expert in data transformation techniques and SQL
You will work alongside our Business Intelligence developers in building our data warehouse which acts as a single source of truth for all measures and KPIs.
You will be expected to work cross-functionally and support other departments such as Marketing, Logistics, Finance and Business Controlling to ensure our data strategy aligns across multiple business processes. You will be supported by your loyal team and manager in all of these endeavours.
WHO YOU ARE
Demonstrable experience of working with and designing a data platform, implementing best practices around data processing on an industrial scale.
Demonstrate solid knowledge of data modelling principles including data lakes and warehousing tools and techniques
Strong knowledge of RDBMS, SQL, APIs and file formats such as JSON, YAML, CSV
You have good programming skills in Go and/or Python, coupled with source control and code review experience
Show proficiency in understanding complex ELT processes and have previously worked with ELT products and/or data transformation tools
Experience working with cloud-based infrastructure and technologies, preferably AWS
You are a driven, passionate data enthusiast that through own initiative, enjoys finding solutions to both obvious and hidden problems.
You speak English proficiently
THIS IS #LIFEATDW
As a member of the DW team, you are a part of an inclusive and diverse workplace, where we want you to be yourself. In addition to great benefits, you will get the chance to work in a global fast-paced and rapid-growing environment, constantly provided with new and exciting challenges. We take pride in building almost everything in-house, are all about constant learning and with that finding our own way of doing business. You will spend your days in collaborative and dynamic environment with a highly skilled team, do great work, and have fun while doing so.
Publiceringsdatum2020-10-16Så ansöker duSista dag att ansöka är 2020-10-28
Klicka på denna länk för att göra din ansökanAdressDaniel Wellington AB
Vasagatan 12
11120 Stockholm
Omfattning Detta är ett heltidsjobb.
Arbetsgivare Daniel Wellington AB (org.nr 556875-5937)
Vasagatan 12 (
visa karta)
111 20 STOCKHOLM
Arbetsplats Daniel Wellington AB
Jobbnummer 5404188
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