Senior Data Engineer

summ-it; Województwo wielkopolskie; Hybrid; PLN 180,000 - 290,000; Full time

Benefits offered by this job

Flexible working hours

International projects

Technical training & certifications

Conferences & industry events

Private medical care

Job summary

summ-it is seeking an experienced Senior Data Engineer to design, implement and develop modern data processing, integration and analytics solutions. The role focuses on scalable data platforms in Cloud (Azure, Fabric) and On-Premises (SQL Server, SSIS/SSAS) with no team management responsibilities.

The position offers exposure to international projects, ongoing training and opportunities to influence data strategy and architecture within the organization.

Qualifications

• 5+ years of experience in Data Engineering or related field.
• Experience as Data Engineer, ETL Developer, BI Developer or similar role.
• Strong SQL and Python with relational databases.
• Hands-on with Data Warehouse/Data Lake/Data Lakehouse.
• Experience with Microsoft Fabric, Azure, SSIS and SSAS.
• Cloud and On-Premises data solutions design.
• Ability to optimize queries and data processing.
• Knowledge of data governance, quality and security.
• CI/CD and version control experience.
• Documentation and collaboration with teams.

Responsibilities

• Design, implement and develop data platforms in Cloud and On-Premises environments.
• Build and optimize data integration processes and ETL/ELT pipelines.
• Implement Data Warehouse, Data Lake and Lakehouse solutions.
• Write efficient, scalable code and data models.
• Integrate data from various systems, databases and APIs.
• Monitor data processing, troubleshoot and optimize performance.
• Ensure data quality, security and consistency.
• Create technical documentation and participate in code reviews.
• Collaborate with architects, analysts and other teams.
• Provide knowledge sharing and mentoring to others.

Skills

SQL

Python

Relational databases

Data integration

ETL/ELT

Data Warehouse

Data Lake

Lakehouse

Microsoft Fabric

Microsoft Azure

SSIS

SSAS

CI/CD

Version control

Data governance

Data modeling

Data quality

AI/ML projects

Databricks

Snowflake

AWS

GCP

English

Tools

Databricks

Snowflake

AWS

GCP

Microsoft Azure

Job description

We are looking for an experienced Senior Data Engineer who will be responsible for designing, implementing and developing modern solutions for data processing, integration and analysis.

We are looking for someone with hands-on experience in building scalable and secure data platforms, ETL/ELT processes and Data Warehouse and Lakehouse solutions. This is an expert, technical role with no team management responsibilities.

If you can turn business requirements and solution architecture into high-quality implementation, solve complex technical problems and support other team members with your knowledge, this role is for you.

Join the summ-it team. You will deliver Data & Analytics projects based on modern data platforms in Cloud environments, in particular Microsoft Azure and Microsoft Fabric, as well as On-Premises solutions using Microsoft SQL Server, SSIS and SSAS.

What do we offer:

• Cooperation based on a B2B contract.
• Projects for clients from various market sectors.
• Work with modern Data & AI technologies.
• Real influence on the strategy for developing Data competencies within the organization.
• Technical, certification and management training.
• Knowledge sharing with experts from other technology areas.
• Flexible working hours and a friendly atmosphere.
• Participation in international projects.
• The opportunity to take part in development initiatives, conferences and industry events.
• Influence on the direction of the company’s Data & Analytics services and offering
• Company events: Summer Party, Winter Party, AllHands, Talk to Your C-level, Local Wednesdays, summ-it breakfasts
• Employee recognition programs: summ-it heroes and rewards for kudos received
• Employee referral program
• Access to benefits (private medical care, Multisport card, group insurance)

Main responsibilities:

• Designing, implementing and developing data platforms in Cloud and On-Premises environments.
• Building and optimizing data integration processes and ETL/ELT pipelines.
• Implementing Data Warehouse, Data Lake and Lakehouse solutions.
• Writing efficient, scalable and maintainable code and data models.
• Integrating data from various systems, databases, files and APIs.
• Monitoring data processing, troubleshooting and performance optimization.
• Ensuring the quality, security and consistency of processed data.
• Creating technical documentation and taking part in code and solution reviews.
• Collaborating with architects, analysts, consultants and other technical teams.
• Providing technical support to less experienced team members and sharing knowledge.

Requirements:

• At least 5 years of experience in Data Engineering, data integration or data processing.
• Experience as a Data Engineer, ETL Developer, BI Developer or in a similar technical role.
• Very good knowledge of SQL and Python (in the context of data processing) as well as relational databases.
• Very good knowledge of data integration processes and ETL/ELT solutions.
• Hands-on experience in building Data Warehouse, Data Lake or Lakehouse solutions.
• Hands-on knowledge of Microsoft Fabric, Microsoft Azure, SSIS and SSAS.
• Experience in designing and implementing data solutions in Cloud or On-Premises environments.
• Ability to optimize queries, data processing and database performance.
• Knowledge of data modeling, data quality, security and Data Governance principles.
• Experience with version control systems and CI/CD processes.
• Ability to create technical documentation and work in line with established standards.
• Independence in analyzing and solving complex technical problems.
• Ability to work with clients, analysts and technical teams.
• English at B2 level or higher.
• Presence at the Poznań office at least 4 days per month.
• Experience in AI/ML projects and in implementing AI-based solutions.
• Knowledge of Data Quality, MDM, metadata management and data lineage.
• Experience in On-Premises to Cloud migration projects.
• Knowledge of platforms such as Databricks, Snowflake, AWS or GCP.
• Experience at a consulting company or software house delivering projects for multiple clients.
• Microsoft certifications related to Azure, Fabric, Data & AI.