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Home›Jobs›Signal AI›BI Engineer
Signal AI

About Signal AI

Augmented AI for smarter business decisions

🏢 Tech, Retail👥 101-200 employees📅 Founded 2013📍 Old Street, London, UK💰 $266.8m⭐ 4.1
B2BArtificial IntelligenceBig dataMachine LearningSaaS

Key Highlights

  • Headquartered in Old Street, London, UK
  • $266.8 million raised in Series D funding
  • Analyzes over 5 million global news and social sources
  • High-profile clients include Google and Deloitte

Signal AI, headquartered in Old Street, London, utilizes advanced machine learning to analyze over 5 million global sources, providing real-time insights for clients like Google and Deloitte. With $266.8 million raised in Series D funding, Signal AI focuses on decision augmentation, helping business...

🎁 Benefits

Signal AI offers a fully remote work policy with 6 weeks in summer and 3 weeks in winter, unlimited paid time off, share options for employees, and de...

🌟 Culture

Signal AI fosters a culture of continuous learning and innovation, emphasizing the importance of machine learning in decision-making. The company prio...

🌐 Website💼 LinkedIn𝕏 TwitterAll 10 jobs →
Signal AI

BI Engineer

Signal AI • Lisbon Office

Posted 1 month ago🏛️ On-SiteMid-LevelBusiness intelligence engineer📍 Lisbon
Apply Now →

Skills & Technologies

SQLdbtAirflowPower BITableau

Job Description

We're on a mission to change the way businesses make decisions with our cutting-edge AI technology. To achieve that, we’re looking for passionate people to join our open and unconventional workplace. Our inclusive environment welcomes skills and experiences from diverse backgrounds, and defines who we are.

About the role - what’s your purpose?

We are looking for a BI Engineer to join our newly formed Business Analytics team, working closely with Engineering, Operations & Product teams to design & build analytical models for both our premium enterprise clients and internal data users to drive impactful business decisions and enable self-service analytics.

The role will need to manage data pipelines, quality and delivery methods across multiple projects. You'll work closely with various stakeholders to understand and identify the correct data for the proper use case. This role should have a strong level of confidence in managing and optimising data models and processes (with and without LLMs) to ensure data products are flexible, pragmatic, and fit for purpose.

Day-to-Day Responsibilities - What you will be doing?

  • Managing the development and maintenance of ETL pipelines and data models using tools like SQL, dbt, and Airflow.

  • Creating & maintaining interactive dashboards and leading user engagement of them with both our largest clients and internal users in Power BI & Tableau.

  • Transforming, analysing & optimising large sets of quantitative and qualitative data.

  • Taking ownership of reporting processes to ensure accuracy and reliability for the end-users with strong governance and version control.

  • Testing, unpicking & refining areas such as analytical scoring, user behaviour, product performance to identify trends & opportunities and set up the most relevant KPIs.

  • Collaborating with product managers, engineers, and ops analysts to provide data-driven insights from well-designed data models.

Who are we looking for?

  • You have strong expertise in SQL & Python for relational database systems such as Redshift/S3 and SQL Server.

  • You have several years of strong experience with ETL/ELT processes and APIs with tools such as dbt, Airflow, and Talend.

  • You are proficient in using BI visualisation tools, in particular Power BI, Tableau & Metabase.

  • You have good knowledge of data modelling & transformation techniques within data pipelines.

  • You have a self-starter mindset; you proactively identify issues and opportunities and tackle them without being told to do so.

  • You love building products as part of a cross-functional team, focused on an iterative, outcome-driven approach.

  • You have strong communication skills and are comfortable expressing your ideas and listening to multiple different audiences.

  • You have a positive attitude and are keen to learn new skills in order to succeed.

Not sure you meet every requirement? Studies show that women and other underrepresented groups often hesitate to apply unless they check every box. At Signal AI, diverse perspectives strengthen our teams, drive innovation, and lead to better performance. So even if your background doesn’t align perfectly with each qualification, we encourage you to apply if you’re passionate about this role.

We're dedicated to creating an inclusive environment where every Signaller feels welcomed, valued, and heard—a place where you can truly thrive as yourself.

Interested in this role?

Apply now or save it for later. Get alerts for similar jobs at Signal AI.

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