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  • Senior Data Engineer
    New
    Data

    Senior Data Engineer

    Warszawa
    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    Permanent, B2B
    Operating mode
    Remote
    SoftwareOne

    SoftwareOne

    SoftwareOne seeks exceptional people who will contribute to, and grow with, our team. We are passionate about our employees and invest heavily in training at all levels as you and the company grow.

    Company profile

    Tech stack

      Azure SQL

      advanced

      Power BI

      advanced

      SQL Server

      advanced

      Analysis Services

      advanced

      Azure

      advanced

      Python

      advanced

      Scala

      advanced

      Microsoft Fabric

      advanced

    Job description

    SoftwareOne is a leading global software and cloud solutions provider that is redefining how companies build, buy and manage everything in the cloud. By helping clients to migrate and modernize their workloads and applications – and in parallel, to navigate and optimize the resulting software and cloud changes – SoftwareOne unlocks the value of technology. The company’s 8,900 employees are driven to deliver a portfolio of 7,500 software brands with sales and delivery capabilities in over 60 countries. Headquartered in Switzerland, SoftwareOne is listed on the SIX Swiss Exchange under the ticker symbol SWON.


    Job Description

    We are seeking a highly motivated and detail-oriented Data Solutions Engineer to join our team. In this role, you will be responsible for driving key data initiatives including data modeling, migration, security implementation, and governance across various projects. You will also be involved in data integration, scalability planning, and providing testing support to ensure robust data systems and solutions. Additionally, you will contribute to presales activities and entry-level data science projects. This position offers an excellent opportunity for someone passionate about data to influence and contribute to high-impact projects in a dynamic environment.


    Key Responsibilities:

    • Data Modeling:
    • Design, implement, and maintain scalable data models to support analytics systems.
    • Ensure the integrity and accuracy of data structures by following best practices in data architecture.
    • Data Migration:
    • Lead and execute data migration strategies from legacy systems to modern platforms.
    • Security Implementation:
    • Implement data security solutions and policies, ensuring compliance with industry standards and regulations.
    • Data Integration:
    • Design and build data integration solutions to ensure seamless data flow between internal and external systems.
    • Monitor integration processes and troubleshoot issues to maintain data consistency and accuracy.
    • Testing Support:
    • Provide support for testing data systems, ensuring accurate and thorough validation of data transformations, migrations, and integrations.
    • Collaborate with QA teams to identify and resolve data-related issues.
    • Scalability Planning:
    • Develop and implement strategies to ensure data solutions can scale efficiently with growing datasets and business requirements.
    • Proactively identify bottlenecks and design solutions to address them.
    • Monitoring and Alerts Implementation:
    • Set up and configure monitoring tools and alerts to ensure data systems are functioning optimally.
    • Continuously improve monitoring processes to detect anomalies and minimize system downtime.
    • Data Governance Assessments and Recommendations:
    • Conduct data governance assessments to ensure data quality, consistency, and compliance with policies.
    • Provide actionable recommendations to improve data governance frameworks and processes.
    • Data Science Entry-Level Projects Implementation:
    • Support and contribute to entry-level data science projects, leveraging statistical models and machine learning techniques.
    • Work closely with data science teams to ensure smooth implementation of projects.
    • Presales Activities:
    • Assist in presales activities by providing technical expertise on data solutions.
    • Work closely with sales teams to demonstrate the value of data solutions to potential clients.


    Job Requirements

    • Data engineer with more than 6 years of professional commercial experience in building databases (preferable Azure stack)
    • Experience with SQL Server, Azure SQL databases, Azure Synapse, SQL Server Integration Services, Azure Data Factory, Power BI, Analysis Services, Azure Analysis Services, Microsoft Fabric
    • Very good knowledge of performance tuning, scalability, database architecture, migration approach, security aspects
    • Theoretical knowledge of other than Microsoft databases
    • Good knowledge of one of the following: Python, Scala
    • Basic knowledge related to OpenAI (preferable implementation experience)
    • Ability to work in a team.
    • Theoretical Data Governance knowledge
    • Willingness to take participation in pre-sales activities.
    • Fluent English and Polish


    Job Benefits

    Our company benefits vary based on your location, but always include: 

    • Global company culture: We defined our 7 core values through our company culture (https://www.softwareone.com/en/our-story/our-values)
    • mentor who supports your successful start and is at your side with advice and action
    • No dress code - Wear what you feel comfortable in, not just while working from home! Just in customer contact some adaptations are useful
    • President’s Club: Recognition awarded by leadership and your peers.
    • Flexible work: Do great work from anywhere, deliver excellence everywhere.
    • Incentive programs: SWOmies award bonuses to colleagues who go above and beyond.
    • Lifelong education: A variety of training and development opportunities.
    • Employee stock option programs (SIX: SWON): Be an owner. All employees can be shareholders.
    • Hire to Grow: We optimize our internal structures and feedback culture constantly to be your Employer of Choice, today and in future.

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