Data engineer

1 settimana fa

Florence, Toscana, Italia team A tempo pieno
Company was created in
June 2019 by the merger of regional leading hosting providers Combell
Group, Register Group and TransIP is an ecosystem
of successful brands working together across regions to provide
customers with everything they need to succeed online. 40+ successful
brands make up the group; within those brands, over 2300 experts serve
its 2.5+ million customers across Europe and beyond.
Our valuesThe five characteristics that drive our behaviours and the heart of our business culture.
We put our customers at the heart of everything we do.
We're stronger together and we trust each other to do the right thing.
We tell it like it is and keep doors and mind open.
We treat each other with respect and regard.

We're always thinking 'what's next?The roleThis role is a unique opportunity to join the central data team in one of Europe's most ambitious and fast-growing hosting companies with more than +2M customers.

As a leader in our sector, we recognize the critical value of Business Intelligence (BI) to leverage the power of our customer data and shape our commercial strategy.

You will be part of the Data & Analytics function, working closely with the Business functions to provide timely, reliable, high-quality data, that best support decision making.

About the job As a data engineer, you will develop and maintain the central data warehouse and help us take the most value out of our data and meet our increasing data needs.

Your work assignments will center around back-end development, focusing on building optimized data structures with best-in-class load performance.

You will help us integrate newly acquired businesses into the central data warehouse, besides improving and expanding already existing structures to enable an even more data-driven approach.

To this extent, your role will be crucial in supporting the Data & Analytics team in increasing the data available centrally and its fast, easy access for the end users.

You will play a key role in transforming data into actionable insights that inform business strategies, improve customer processes, and drive overall performance.

The ideal candidate will possess a strong analytical mindset, exceptional problem-solving skills, and a passion for uncovering trends and patterns within complex datasets.

The central Data & Analytics team is one of the pillars of strategy, and the priorities and collaboration in the team are aligned daily with full involvement from team members and the management.

Your profile You are self-driven, ambitious, collaborative, and able to effectively and independently translate new ideas into concrete measures.

You can communicate with all levels of the organization and translate the technical language into a more business-friendly language when translating business requests into technical solutions.

Part of the role will be to deliver according to time constraints and focus on more projects simultaneously. The right candidate can cope with this and has a proven track record from similar positions.

Key responsibilities Design, develop, and maintain scalable data pipelines to ingest, process, and transform large volumes of structured and unstructured data from various sources.

Implement efficient ETL (Extract, Transform, Load) processes to ensure timely and accurate data delivery to downstream systems and applications. Design and implement data models and schemas to support analytical and operational requirements, ensuring data integrity, consistency, and efficiency. Manage and optimize database systems for performance, security, and scalability, including schema design, indexing, and query optimization.

Integrate data from various internal and external sources, including APIs, databases, and third-party systems, to enrich and enhance our data assets.

Understand or quickly learn business concepts in the domains of marketing, finance, PE, M&A and more.

Education and work experience Advanced degree in Computer science, STEM subjects (Mathematics, Physics, Statistics, Engineering, etc), or relevant work experience At least 3 years of relevant experience, working in business intelligence, ideally in a related industry Demonstrable track record in developing data intelligence solutions that are stable and high performing; provide business value; and use resources efficiently Technical skills required Advanced skills in SQL ( TSQL, PgSQL, PLSQL, etc...) shell scripting ( bash, powershell, etc..

) and pythonGood knowledge of at least one database engine between: Microsoft SQL Server, PostgreSQL, Oracle, MysqlExperience in ETL/ELT development, frameworks and comoponents ( SSIS, Power Query, Pandas, Airflow, cloud services, etc.

)Good knowledge of data warehouse modeling tecniques ( dimensional model, star schema, snowflake design, etc...)Proficiency in analytical frameworks (Excel, R/Python).Knowledge of Microsoft Master data and Analysis services are welcomeFlexibility to learn and adapt; strong problem-solving skills and attention to detail.

Excellent communication and presentation skills, with the ability to effectively convey technical concepts to non-technical stakeholders.
Ability to work independently and collaboratively in a fast-paced, team-oriented environment.

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