About us
ALGOTEQUE is an IT consultancy firm that helps startups, mid-sized and large corporations to create and deliver innovative technologies.
Our team has a successful track record in designing, developing, implementing, and integrating software solutions (AI, ML, BI, Web, Automation) for Telecom, Energy, Bank, Insurance, Pharma, Automotive, Industry, e-commerce. We deliver our services both in fixed-price and time-and-materials models, helping our customers achieve their business and IT strategies.
Job Description
Are you a skilled Data Engineer with a passion for creating impactful data solutions? We are seeking an experienced professional to join our team in Prague. This is an exciting opportunity to leverage your expertise in DBT and AWS S3 to design and maintain data pipelines that drive business insights and support strategic decision-making. If you thrive in a collaborative environment and are ready to take on a challenging role, we would love to hear from you!
Location: Prague
Start Date: ASAP
Experience: More than 5 years
Primary Skill: DBT
Secondary Skill: AWS S3
Responsibilities:
Create and maintain optimal data pipelines using SQL technologies.
Clean, organize, and translate raw data into actionable business insights to support data-driven decision-making.
Assemble large, complex datasets that meet functional requirements.
Engage with stakeholders, including Product owners, business owners, and data source SMEs, to assist in resolving technical and data-related issues.
Collaborate with SMEs to understand new source systems and enhance data assets.
Work with SDLC and testing teams to support documentation and testing activities.
Perform code review and unit testing.
Coordinate with other technology teams and business units to develop appropriate solutions and maintain strategic alignment.
Required qualifications
In-depth knowledge of SAP equipment, maintenance, process order, work order, and Batch module backend tables, including the logic and extraction of information from these tables.
Proven experience as a Data Analyst.
Technical expertise in data modeling and creating data pipelines using Trino SQL and DBT.
Basic knowledge of AWS S3, Jenkins for CI/CD, Apache Airflow, and GitHub.
Familiarity with Jira and Scrum principles.
If you are an experienced Data Engineer with a passion for transforming raw data into business insights and have the skills mentioned above, we invite you to join our team! Apply now and contribute to our data-driven success!
