Data Engineer

About the Role
We are looking for a highly skilled Senior Data Engineer to lead the design development and optimization of enterprise scale data pipelines and this role you will build and maintain robust ETL processes ensure high data availability and support advanced analytics and business intelligence needs.
You will collaborate closely with data scientists analysts product managers engineering managers TPMs and architects to translate complex business requirements into scalable technical solutions. As a senior member of the team you will also guide junior engineers drive technical innovation and influence enterprise data strategy.

Required Skills & Qualifications
Education
Bachelors degree in Computer Science or 810 years of professional experience in relevant programming languages.
Experience
810 years of experience in:
o Data engineering or related fields
o Programming languages relevant to data processing (e.g. Python Java Scala SQL)
o Building scalable ETL pipelines and data architectures
o Working with cloud environments and modern data platforms
o Leading junior team members or acting as a technical lead
Technical Competencies
Expert Level
o Integration of systems and technologies
o Cloud computing architecture
o Data architecture
Proficient Level
o Backend architecture
o IT standards procedures and policies
o PTC (Platform Technology Committee) processes
o DevOps practices and tools
o Event-Driven Architecture (EDA)
o Results interpretation
o Communication collaboration negotiation and organizational skills
o Problem solving decision making and critical thinking
Competent Level
o Information security architecture
o Enterprise IT architecture

Soft Skills
Strong communication skills with the ability to explain complex concepts clearly
Effective collaboration with technical and non technical stakeholders
High analytical and problem solving capabilities
Strong organizational and time management skills
Ability to mentor guide and inspire junior engineers
Strategic thinking with a continuous improvement mindset
Confidence in decision making and ownership of technical solutions
English - Excellent verbal and written communication

Preferred / Nice-to-Have Qualifications
Experience with modern data lakehouse platforms (Databricks Snowflake BigQuery etc.)
Expertise in orchestration tools (Airflow dbt Dagster)
Familiarity with real-time data processing (Kafka Kinesis)
Experience with CI/CD pipelines and infrastructure-as-code
Industry certifications in cloud architecture data engineering or security
Experience in enterprise-scale multi region data

Soft Skills

Strong leadership and team mentorship
English - Excellent verbal and written communication
Strategic thinking and long-term planning
Ability to manage competing priorities
Stakeholder influence and negotiation skills
High adaptability and continuous learning mindset