Data Engineer Business Intelligence · Barcelona · Hybrid Remote - Softonic

    Softonic
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    Descripción

    About Softonic:
    Softonic is a place where people come first. We care about your personal and professional growth, and we're committed to creating an environment where you can thrive.

    We believe that our greatest asset is our team, and we're dedicated to attracting and retaining the best talent in the industry.

    At Softonic, you'll have the opportunity to learn from passionate and talented colleagues, work on exciting projects, and take on new challenges.

    We believe in a "Fail fast, Learn fast" mindset, and we encourage our team members to take risks and think outside the box.


    Our culture is built on four core values:

    Step up:
    We are proactive and take ownership of our work. We do the right thing, even when it's hard.

    Work smart:
    We're efficient and effective, making the most of our time and resources.

    One team:
    We collaborate and care for each other. We're proud of what we accomplish together.

    Think big:
    We're curious and open to new ideas. We challenge ourselves to grow and innovate.
    We offer the opportunity to make an impact, grow professionally, and work in a fast-paced, innovative environment. You'll have the support of a great team and culture, where transparency, respect, and integrity are key. Join us and be a part of a company that values its people above all else.

    Check the video :
    What ́s like to work in Softonic

    About the position Softonic is looking for a Data Engineer to join our talented Business Intelligence team in Barcelona.

    In this role, you will play a crucial part in building and maintaining the data infrastructure that empowers our BI Engineers to transform data into actionable insights.

    If you are passionate about data, have a strong technical skillset, and enjoy working in a collaborative environment, we encourage you to apply.

    Key responsibilities Manage current data ingestion processes on GCP Design and implement the architecture of Softonic's data lake located in Google Cloud Platform Design and implement the integration of additional data sources into the data lake Develop and maintain Google Cloud infrastructure related to data ingestion and processing Optimize data management and processing, both in terms of budget and performance Design and implement dev ops processes related to Softonic's data lake (e.g. git workflow, staging environment, deployment processes, permissions...)

    Work with stakeholders to identify root causes of inaccurate data points and develop fixes Provide support for users of internal dashboards and reports to help understand, improve and expand available data Minimum experience and qualifications: 3+ years of hands-on data engineering experience Fluent in Python programming language (3+ years of experience)

    Experience running data workflows and develop data pipelines with cloud orchestration tools working with Airflow Proficient working with BigQuery and SQL API integrations Nice to have:
    Dataflow Google Cloud Platform (Compute Engine, Storage, Composer, Admin, Serverless deployments, etc )

    Git Working experience with QLIK Cloud Why Softonic? Workplace & benefits:

    Dining Room Gaming room& Terraces Bike & Car Parking Fresh Fruits, Coffee, Snacks & Drinks Pizza & Beers Every Thursday Private Health Care Language Classes (English & Spanish) Internal Training Program Discounts At Gyms & Restaurants Flexible Work Schedule ( home office and 2 days/week in the office) Day off at your birthday & other ́s evenings off Discover more...

    is committed to equal opportunity and does not discriminate on the basis of race, religious beliefs, color, gender, age, citizenship, origins, disability, sexual orientation, sexual identity, background, marital status or any other characteristic.

    If you need any specific accommodation / adaptation due to a disability during the recruitment process, please send us an email to
    with your request and we'll contact you.

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