[C3S] Lead Data Engineer
[C3S] Lead Data Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
Project the aim youll have
The Lead Data Engineer will be responsible for architecting building and optimizing the data pipelines and infrastructure that power International SOSs mission-critical analytics and operational platforms. This role plays a pivotal part in transforming raw data into structured reliable and scalable formats to enable data-driven decision-making across the organization. As a technical leader you will guide engineering best practices mentor junior team members and collaborate closely with cross-functional stakeholders to deliver high-impact data solutions.
Position how youll contribute
- Design construct install and maintain scalable and robust data pipelines
- Integrate data from a wide variety of sources both structured and unstructured
- Optimize data delivery and re-design infrastructure for greater scalability and performance
- Collaborate with data scientists business analysts and product managers to deliver data solutions aligned with business needs
- Develop and maintain data models databases and ETL processes
- Ensure data quality reliability and integrity across systems
- Participate in data architecture and design reviews
- Assist in implementing data governance and data security best practices
- Monitor and troubleshoot data pipeline issues and performance bottlenecks
Qualifications :
Expectations the experience you need:
- A bachelors degree in computer science data science software engineering information systems or related quantitative field; masters degree preferred
- At least eight years of work experience in data management disciplines including data integration modeling optimization and data quality or other areas directly relevant to data engineering responsibilities and tasks
- Proven project experience developing and maintaining data warehouses in big data solutions.
Experience & Technical Expertise
- 8 years of hands-on experience in data engineering or related roles with a strong foundation in building scalable data solutions.
- Proficient in designing and orchestrating ETL/ELT pipelines across structured and unstructured data sources using tools like AWS Glue Apache Airflow and DBT
- Deep expertise in big data technologies such as Apache Spark Kafka Hadoop and EMR.
- Strong programming skills in Python Scala Java and familiarity as needed.
- Skilled in working with relational (SQL Postgres) and NoSQL (DynamoDB) databases.
Cloud & Data Platforms
- Proven experience with cloud platforms including AWS (S3 Lambda Redshift Glue Step Functions).
- Hands-on knowledge of modern data warehousing solutions such as Redshift BigQuery and Teradata.
Data Governance & Security
- Solid understanding of data privacy regulations (e.g. GDPR HIPAA) and security best practices.
- Experience implementing data governance frameworks metadata management and data quality controls.
Analytical & Business Acumen
- Ability to design and deploy data solutions that support AI/ML business intelligence and advanced analytics use cases.
- Familiarity with data science tools visualization as MS Fabric Power BI and Excel.
- Strong problem-solving and debugging skills with the ability to identify and resolve performance bottlenecks in complex systems.
- Familiarity with data science tools and libraries such as Pandas NumPy Scikit-learn Jupyter and R.
Collaboration & Communication
- Experience working in agile environments and cross-functional teams
- Excellent interpersonal and communication skills; able to work effectively across technical and non-technical teams.
- Capable of translating business requirements into technical solutions and vice versa bridging gaps between executives analysts and engineering teams.
- Demonstrated ability to influence senior stakeholders and contribute to strategic data initiatives
Additional Information :
Our offer professional development personal growth:
- Flexible employment and remote work
- International projects with leading global clients
- International business trips
- Non-corporate atmosphere
- Language classes
- Internal & external training
- Private healthcare and insurance
- Multisport card
- Well-being initiatives
Position at: Software Mind Poland
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
Company Industry
Key Skills
- Apache Hive
- S3
- Hadoop
- Redshift
- Spark
- AWS
- Apache Pig
- NoSQL
- Big Data
- Data Warehouse
- Kafka
- Scala
