Data Analytics Engineer

TBS - Tech & Beyond Solutions Lda; Matosinhos; Presencial; EUR 32 000 - 52 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Multicultural environment

Career development opportunities

Modern office

Cross-team collaboration

Resumo da oferta

TBS - Tech & Beyond Solutions Lda in Porto invites a Data Analytics Engineer to join our fast-growing team. You will work under the central Data Team on ELT pipelines, data management, and BI maintenance solutions, developing dashboards and reports to turn data into insights.

You will collaborate with business users and product teams, drive insights through visualizations, and help enhance ETL pipelines while applying agile practices in a dynamic iGaming-market environment.

Qualificações

• 2+ years of data analytics/ETL experience.
• Proficient in SQL Server and T-SQL.
• Experience with data warehousing and ETL workflows.
• Strong BI reporting and dashboard skills.
• English level B2 or higher.

Responsabilidades

• Collaborate with business users and product teams.
• Drive insights through data and visualizations to answer business questions.
• Develop dashboards and reports for key metrics.
• Enhance ETL pipelines and BI solutions with data analysts.
• Peer review query scripts and share insights.

Conhecimentos

SQL

Power BI

Python

Data visualization

ETL

Agile

Team collaboration

Cloud data warehousing

Formação académica

BS/MS in Computer Engineering/CS/Applied Mathematics

Ferramentas

SSIS

SSAS

Azure SQL Database

Power Platform

Descrição da oferta de emprego

We are seeking a Data Analytics Engineer to join our fast-growing team.

Project Overview:

• You will report to a central Data Team, working on ELT pipelines, data management, and BI maintenance solutions.
• Your role will involve the maintenance and development of BI reporting tools.
• You will work closely with business teams, to support data-driven initiatives.
• You will be expected to adapt quickly, take ownership, and demonstrate resilience (entrepreneurial mindset).
• We value teamwork, openness, and confidence, striving to improve our collective knowledge, practices, frameworks, and ecosystem (collective intelligence).

Main Responsibilities:

• Collaborate closely with business users and the product development teams.
• Drive insights to answer business questions through data and visualizations, turning data into actionable insights.
• Develop dashboards and reports to enhance understanding of key metrics.
• Work with other Data Analysts to enhance existing ETL pipelines and other BI solutions.
• Peer review query scripts, identifying potential issues and sharing insights

Technical Requirements:

• At least 2 years of relevant experience (mandatory).
• BS/MS degree in Computer Engineering, Computer Science, Applied Mathematics, or a similar analytical field.
• Proficient in SQL Server, SQL/T-SQL (mandatory).
• Experience with SQL query optimization. Familiarity with programming languages such as Python (an advantage).
• Experience with data warehousing and ETL workflows (an advantage).
• Skills in SSIS, SSAS (an advantage).
• Knowledge of Cloud Data Warehouses (Azure SQL Database).
• Knowledge of data orchestration cloud tools and containerization.
• Experience with Power Platform (an advantage).
• Experience with Power BI (mandatory).

Other Requirements:

• A good level of English (B2 or higher, mandatory)
• Familiarity with agile methodologies and tools, such as Scrum/Kanban
• A passion for improvement, helping others, and turning ideas into reality

Our Team: We are a multidisciplinary team that values close collaboration and active knowledge sharing. Our members come from diverse backgrounds and are always eager to learn more, working in an agile environment.

What We Offer:

• A multicultural and supportive work environment
• Opportunities for career development and growth.
• The chance to work in emerging iGaming markets
• A spacious and modern office setting
• The opportunity to collaborate with various teams and key stakeholders across the business

Job Type: Full-time

Experience:

• Data Analytics Engineer: 2 years (Required)