Data Engineer

Telescope Services AB har sedan 1999 jobbat med att rekrytera de främsta mjukvaruspecialisterna från hela världen. Vårt huvudkontor ligger i Lund, med rekryteringsnoder i mer än tio länder, och vi är idag ca 100 medarbetare på plats här i Sverige.

What you’ll do:

As a Data Engineer, you will support and contribute to the development of products aimed at enhancing business decision-making capabilities, ensuring alignment with clients standards, best practices, and utilizing data and analytics tools support,

You will also

• Development and automation of sustainable data sets, utilizing different data sources and platforms.
• Use ETL techniques to build out an end-to-end data pipeline and make timely data available for business users.
• Implement Data Quality Services to maintain high standards of data quality and integrity.
• Troubleshoot and support the data warehouse and associated tools.
• Help to establish best practices for development, testing, migration and error handling.
• Assists in capturing processes, procedures and other metadata in documentation; ensures that documentation is well organized, complete, and appropriate for the audience.
• Educate individuals and products within the organization on effective methods of working with data and visualization, fostering a data-driven culture.

We believe that your background and skills include:

• Suitable education (B.E, MCA, BSc, MSc, or equivalent training in Computer Science or the equivalent).
• Knowledgeable in prototyping, specifying and implementing analytical ecosystems and/or logical data warehouses, including (big) data architecture, such as data lakes, streaming data analytics, etc.
• Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform for building and deploying scalable data solutions.
• Proficiency in languages such as SQL for database querying and manipulation.
• Strong programming skills in languages like Python, Java, or Scala for data processing and analysis.
• Experience with various database systems such as relational databases (e.g., MySQL, PostgreSQL, Oracle) and cloud-based data warehouses (e.g., Snowflake, Amazon Redshift, Google BigQuery).
• Extensive experience in designing, developing, testing, and implementing ETL solutions.
• Understanding of data modeling concepts, including relational databases, data warehouses, and dimensional modeling.
• Understanding of data quality principles and experience implementing data quality processes.
• A commitment to continuous learning and staying updated on emerging technologies in the data engineering field.

Additional skills that would be considered a plus

• Knowledge of analytics and business intelligence tools like Tableau, Power BI, or Looker for creating data visualizations and reports.
• Knowledge of BI architectures, concepts, and frameworks.
• Showing a deep interest in analytics and data science platform technologies and being curious about how these technologies can help create opportunities across the company.

Location, Stockholm, or Gothenburg, Sweden

Please send Your CV to [email protected].