Data Engineer - Marketing Technologies

HK / Elkraftsjobb / Solna
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Private & Commercial CRM & Marketing Solutions Unit

Data driven Customer Relationship Management (CRM) and Marketing is a long term strategic focus area for business area Private and Commercial at If Insurance. If is undergoing a transformation to become a more modern marketing and digital sales company. As part of the transformation we are investing in modernizing the technology stack to execute one-to-one communication across channels in the Nordic region covering over 3.6 million customers.

Despite all the new technology and available data we also believe that the fundamental role of marketing hasn't changed to gain understanding our customers' needs and values in order to create experiences that emotionally connects our customers with the If brand.

We seek a widely skilled data engineer to help us implement, maintain and utilize data packages for digital marketing & sales use cases working in a Nordic role. You will have a key role in enabling our future use cases for digital analytics and marketing built around the Google Marketing Platform. Your collaboration network will consist of a diverse group of stakeholders like digital analysts, data scientists, CRM specialists, marketing managers etc. that you will provide relevant data nicely packaged in a privacy by design way. You will also interact with data engineers in other units, as well as with people responsible for enterprise data warehousing. This is a great opportunity to work not only across the Nordics but also cross Business Areas and Business Units with utilizing holistically the rich data available in an insurance company.

Responsibilities

Working closely with CRM, Digital sales and Marketing stakeholders to integrate various data sources into data packages on a cloud platform
Develop and maintain data pipelines across different sources
Acting as a technical solution owner for data packages and ensuring the data quality
Translating business and omni-channels communication needs into requirements for data packages
Hands on support and development of joining online behavioral data with offline customer data
Desired Skills and Experience

Digital Marketing
We prefer previous experience in one or many of the following areas: SQL, NoSQL, Web Services, APIs, Web Analytics, Cloud Platforms like: Azure, AWS Google Cloud / Big Query, Google Analytics or similar tools
Programming skills in some of the languages: C# (.Net), Java, Python and Javascript
Ability to design efficient and robust ETL workflows
Deep understanding of data models and structures. Experience from using or developing data warehouse solutions such as Teradata is considered an advantage
General knowledge of web and mobile development frameworks
Understanding of digital marketing & sales concepts and keen attention to details
Outstanding team player, analytical mindset and problem solver in a Nordic environment
University degree in a relevant technical area
Fluent in both oral and written English and one of the Nordic languages
We offer

A key role in our vision to transform If into a smooth insurance company that is easy to engage with
Learn new skills and concepts from a diverse but extremely talented group of colleagues.
Working with cutting edge cloud-based CRM and Marketing Technology tools
An agile, informal work environment where we value continuous improvement and trying out new things for the benefit of customers with cross-Nordic, international DevOps and Marketing teams
Continuous training within emerging technologies
The data engineer will report to Development Manager of CRM & Marketing Solutions

You will be based in Stockholm (Sweden) or Turku (Finland)

Main contact: Klas Sjögren, klas.sjogren@if.se +46 (0) 10 603 70 57

Union contacts for Sweden:
Maria Flodqvist, FTF maria.flodqvist@if.se, 010-603 71 91
Rickard Rickmo, Saco rickard.rickmo@if.se, 0723-849 118

Publiceringsdatum
2019-01-28

Så ansöker du
Sista dag att ansöka är 2019-02-12
Klicka på denna länk för att göra din ansökan

Företag
HK

Jobbnummer
4580501

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