Data Engineer

SQLI; Georgia; Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid work policy

Training and certification budget

Flexible work hours with shorter Fridays

Job summary

SQLI is seeking a Data Engineer in Georgia, USA, to design and optimize data solutions in Business Intelligence and Data & Analytics. Responsibilities include analyzing business requirements, developing data pipelines, and collaborating with stakeholders. The ideal candidate has advanced SQL skills and experience with Snowflake. The position offers a hybrid work policy, a permanent contract, and a training budget.

Qualifications

• Proven experience as a Data Engineer in BI and Data & Analytics environments.
• Strong experience in analytical data modeling.
• Ability to work independently, from requirements gathering to delivery.

Responsibilities

• Design, build, and optimize end-to-end data solutions.
• Develop, maintain, and optimize data pipelines.
• Collaborate on the definition of metrics and KPIs.

Skills

Advanced SQL expertise

Experience in BI and Data & Analytics environments

Analytical data modeling

Hands-on experience with Snowflake

Fluent in English

Excellent communication skills

Job description

SQLI, a European leader in customer experience and digital transformation, helps major international brands create value through technology and digital innovation. From strategy to the deployment of our clients technological assets, we design and build robust, high-performance architectures and engaging experiences by combining cutting-edge technologies, proven methodologies, and deep technical expertise.

To strengthen our teams (2,200 people across 12 countries), we are recruiting passionate individuals who share our values:
Creative Spirit, Commitment, Forward Thinking.

Job Description

We are looking for aData Engineer. He/she will play a key role in designing, building, and optimizing end‑to‑end data solutions within Business Intelligence and Data & Analytics environments. He/She will work closely with technical and business stakeholders to transform business needs into scalable, high‑quality data solutions.

What is this all about?

• Analyses business requirements and design end‑to‑end (E2E) data solutions
• Develop, maintain, and optimize data pipelines in BI and analytics environments
• Implement transformations, procedures, and tasks in Snowflake
• Design and maintain efficient, scalable analytical data models
• Optimize SQL queries and data processes to improve performance and cost efficiency
• Prepare and expose data for consumption in Power BI and other analytical tools
• Collaborate on the definition of metrics, KPIs, and semantic models
• Work in an Agile / Scrum environment with technical and business teams
• Present progress, solutions, and recommendations to international stakeholders in English
• Document data architectures, processes, and developments, and propose continuous improvements

Qualifications

Who are you?

• Proven experience as a Data Engineer in BI and Data & Analytics environments
• Advanced SQL expertise, including complex queries and procedure development
• Strong experience in analytical data modeling
• Hands-on experience with Snowflake (transformations, procedures, tasks)
• Strong analytical mindset and E2E solution design capabilities
• Ability to work independently, from requirements gathering to delivery

Skills & Behaviours

• Fluent in English both writing and speaking.
• Excellent communication skills with different audiences.
• Capable to lead, pursue and empower as a mentor the agile team.
• Trouble‑shooting management.
• Action Oriented.
• Peer Relationship.
• Service Orientation.

Additional Information

What do we offer?

• Permanent contract.
• Hybrid policy work. (1 day office, 4 days home office)
• UDEMYBusiness member platform with a lot of online learnings (certifications, courses, etc).
• Individual yearly training and certification budget.
• Work Schedule Monday to Friday.
• Flexible work hours with shorter Fridays and summer schedule.
• Full salary coverage for sick leave.

Data protection notice

SQLI Group ensures that applicants' personal data is processed as required by the EU General Data Protection Regulation (GDPR) and the Ley de Protección de Datos 3/2018 of the Spanish Kingdom. Personal data is processed for the purpose of carrying out the hiring process and joining to our talent community. You can exercise your rights in terms of General Data Protection and digital guarantees through [e-mail].

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