[C3S] Lead Data Engineer

Software Mind

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profile Job Location:

Any - Poland

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

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

Project the aim youll haveThe 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 struct...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

About Company

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Software Mind develops solutions that make an impact for companies around the globe. Tech giants & unicorns, transformative projects, emerging technologies and limitless opportunities – these are a few words that describe an average day for us. Building cross-functional engineering te ... View more

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