Data Engineer

Who We Are Konrad is a next generation digital consultancy. We are dedicated to solving complex business problems for our global clients with creative and forward-thinking solutions. Our employees enjoy a culture built on innovation and a commitment to creating best-in-class digital products in use by hundreds of millions of consumers around the world. We hire exceptionally smart, analytical, and hard working people who are lifelong learners. About The Role As a Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric, Databricks, and Snowflake will be essential as you collaborate closely with data analysts, scientists, and other engineers to ensure reliable, secure, and efficient data solutions. What You’ll Do Design, build, and manage robust data pipelines and data architectures. Implement solutions leveraging platforms such as Azure Fabric, Databricks, and Snowflake. Optimize data workflows, ensuring reliability, scalability, and performance. Collaborate with internal stakeholders to understand data needs and deliver tailored solutions. Ensure data security and compliance with industry standards and best practices. Perform data modelling, data extraction, transformation, and loading (ETL/ELT). Identify and recommend innovative solutions to enhance data quality and analytics capabilities. Qualifications Bachelor’s degree or higher in Computer Science, Data Engineering, Information Technology, or a related field. At least 3 years of professional experience as a Data Engineer or similar role. Proficiency in data platforms such as Azure Fabric, Databricks, and Snowflake. Hands-on experience with data pipeline tools, cloud services, and storage solutions. Strong programming skills in SQL, Python, or related languages. Experience with big data technologies and concepts (Spark, Hadoop, Kafka). Excellent analytical, troubleshooting, and problem-solving skills. Strong understanding of data modeling concepts including medallion architecture, data vault, grain, fact tables, dimensions, and schema design. Hands-on experience building and maintaining transformation layers using dbt or similar ELT tools. Experience building production-grade data models with optimized performance supporting operational decision-making. Experience designing batch and real-time ingestion frameworks with real-time monitoring Ability to effectively communicate technical concepts clearly to non-technical stakeholders. Nice to have Certifications related to Azure Data Engineering, Databricks, or Snowflake. Familiarity with DevOps practices and CI/CD pipelines. Perks and Benefits Comprehensive Health & Wellness Benefits Package Retirement Planning Parental Leave Program Flexible Working Hours Work from Home Flexibility Service Recognition Programs Socials, Outings & Retreats Culture of Learning & Development Bonus Points Have you taken any courses at BrainStation? A lot of our design and development best practices and processes are taught during our courses - make sure to highlight this experience in your cover letter if you have! Konrad is committed to maintaining a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status will receive consideration for employment. If you have any accessibility requirements or concerns regarding the hiring process or employment with us, please notify us so we can provide suitable accommodation. The estimated compensation for this position is $90,000 to $125,000. This is an estimate and a compensation offer will vary based on applicant’s education, experience, skills, abilities and alignment with market data. While we sincerely appreciate all applications, only those candidates selected for an interview will be contacted. #LI-Hybrid

You will design, build, and maintain scalable data platforms and pipelines while collaborating with cross-functional teams to ensure efficient data solutions. Additionally, you will perform data modeling, ETL/ELT processes, and implement innovative solutions to enhance data quality and analytics capabilities.

Candidates must hold a bachelor's degree in a relevant field and possess at least 3 years of professional experience as a Data Engineer. Proficiency in data platforms like Azure Fabric, Databricks, and Snowflake, along with strong programming skills in SQL or Python, is required.

• Comprehensive health & wellness benefits package • Retirement planning • Parental leave program • Flexible working hours • Work from home flexibility • Service recognition programs • Socials, outings & retreats • Culture of learning & development

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Data engineering
• Azure Fabric
• Databricks
• Snowflake
• SQL
• Python
• Spark
• Hadoop
• Kafka
• Data modeling
• ETL
• ELT
• dbt
• Data pipelines
• Cloud services
• DevOps

Formation minimale

Baccalauréat

Expérience minimale

2+ ans