Opis

                                        DATA ENGINEER
Location of work: Zagreb
Be a part of a revolutionary change 
At PMI, we’ve chosen to do something incredible. We’re totally redefining our business and building our future on smoke-free products. 
Join our growing team in Zagreb as a Data Engineer and you’ll work closely with both the Business and IT teams to design, build and support data warehouse and processes that will be applied in business reporting and data analytics. 
There’s something new to learn every day: changes to integrate and challenges to conquer. If you love working collaboratively and trying new things, you’ll be in your element here. 
We offer full time employment with indefinite contract, with option of remote work.
Who we're looking for
University degree 
Minimum 2 years of relevant working experience 
Proven track record in data modelling, building data pipelines and ETL in SQL 
Highly analytical and curious mindset with ability to sort through intricate issues and sense for details 
Ability to collaborate and communicate effectively 
Proficiency in spoken and written English and Croatian
What we offer
Work with experienced IT, DWH and BI professionals in a friendly and open atmosphere where transparent discussion and feedback is encouraged and appreciated 
Collaborate with diverse business teams 
Transparent goals, workload and performance feedback to drive your career development 
Mentoring to facilitate your PMI integration 
Option to work remotely with flexible working hours 
There are no night deployments and no on-call duties  
Pursue your ambitions and develop your skills with a global business – PMI provides endless opportunities to progress and develop 
Our success depends on employees who work with a sense of purpose and an appetite for progress. Join PMI if this is you.
Your ‘day to day’
You will be responsible for: 
Evaluating business needs and proposing efficient data integration and consumer-centric solutions 
Designing, implementing, and maintaining the data warehouse elements in Microsoft SQL Server in Cloud environment 
Closely collaborating with IT, Digital, other Data Analysts on new data pipelines and ETL  
Building, maintaining and improving SQL Server Analysis cubes 
Managing external data suppliers to ensure that they deliver according to the standard  
Embed and monitor privacy and security within our data products 
Improving ETL performance and data quality 
Documenting implementations
To join our growing team, apply via application link no later than 17th December 2025.
                                

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