Data Engineer Jobs in Poland

EPAM Anywhere is looking for Data Engineers in Poland.

Competitive compensation

We back all payments and operate in compliance with country-specific labor regulations. Your annual paycheck can range from $15k to $200k.

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Make use of 1,500+ online and location-specific benefits across 30+ countries that also include healthcare and sports programs for you and your family.

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senior data software engineer

Data Software Engineering

Python, Amazon Web Services, Databricks

40 hrs/week

12+ months

Poland

We are looking for a highly skilled and motivated Senior Data Software Engineer to join our dynamic team.

If you are an expert in Python and have a solid background in AWS, we invite you to take on this exciting opportunity to contribute to cutting-edge data access and reporting solutions.

responsibilities

Develop and implement the proposed data access approval, access audit, and reporting solution.
Collaborate with cross-functional teams to understand project requirements and actively participate in decision-making processes.
Utilize your analytical prowess to assess business challenges and technical landscapes, translating them into high-quality technical solutions.
Engage in thorough code reviews and diligently test solutions to ensure adherence to best practice specifications.
Perform rigorous unit testing and meticulously craft comprehensive project documentation.

requirements

Minimum of 3 years of proven experience as a Data Software Engineer, demonstrating a track record of successful project delivery
Proficiency in Python, leveraging its capabilities to build efficient and robust data solutions
Strong familiarity with the AWS Cloud Adoption Framework, harnessing cloud resources to enhance data engineering workflows
Expertise in the Alation Platform, contributing to effective data governance and management
In-depth knowledge of Databricks, enabling seamless data processing and analysis
Proficiency in Java, enhancing your ability to develop versatile software solutions
Experience with Web Service / API Test Automation Tools in Java, ensuring the reliability and efficiency of data interfaces
Sound command of SQL, enabling you to work with and manipulate complex data sets
Fluent English communication skills at a B2+ level, facilitating effective collaboration in an international team

nice to have

Familiarity with the Alation Data Governance App, further contributing to data governance excellence
Experience with BitBucket, enhancing version control and collaboration practices

middle data integration engineer

Data Integration

ETL/ELT Solutions, SnapLogic

40 hrs/week

12+ months

Georgia, Poland

We are seeking a remote Middle Data Integration Engineer to join our team and contribute to the development of a Crop Protection R&D Data and Analytics platform.

The ideal candidate should have proven experience in the implementation of Snaplogic and possess in-depth knowledge of data integration processes. In this position, you will be responsible for designing, implementing, and maintaining complex data integration solutions. The successful candidate should be able to work collaboratively with other teams to gather requirements, troubleshoot issues, and optimize data workflows.

responsibilities

Design, implement, and maintain data integration solutions
Collaborate with other teams to gather requirements and troubleshoot issues
Develop and maintain integrations among various systems
Optimize data workflows to ensure optimal performance and efficiency
Document and communicate data integration processes and solutions

requirements

At least 3 years of experience in data integration
Exceptional proficiency in data integration concepts and techniques
Good command of ETL/ELT Solutions with knowledge of SnapLogic or similar tools
Problem-solving and analytical thinking
Fluency in English (upper-intermediate level)

nice to have

Experience with other data integration platforms like MuleSoft or Informatica
Knowledge of AWS or Azure cloud computing platforms
Familiarity with data governance and data quality principles

senior data engineer databricks

Data Software Engineering

Python, Apache Spark, Amazon Web Services

40 hrs/week

12+ months

Poland

We are seeking a highly experienced remote Senior Data Engineer with expertise in Databricks to design and develop custom software solutions for our project.

The ideal candidate must be able to deliver robust, scalable and reusable solutions, possess a mastery in engineering. The Senior Data Engineer must also be proactive, a team player and possess excellent communication skills.

responsibilities

Design and develop custom software solutions to meet the end-customer needs
Deliver robust, scalable and reusable solutions in a timely manner
Work collaboratively with the team to ensure successful project delivery
Actively participate in code reviews and contribute to the development of software best practices
Be curious, courageous and committed to continuous learning and improvement

requirements

At least 3+ years of experience as a Senior Data Engineer with expertise in Databricks
Mastery in Engineering and thorough understanding of software design principles
Expertise in Python, Apache Spark, Amazon Web Services
Working knowledge of DevOps (Kubernetes, Docker, advanced AWS, CICD, etc.)
Upper-Intermediate level of English (B2+)

nice to have

Strong working knowledge of Scala and ELK stack

senior big data engineer

Data Software Engineering

Amazon Web Services, Python, Apache Spark

40 hrs/week

12+ months

Poland

We are looking for a Senior Big Data Engineer to join our team and help us create and adjust analytics data pipelines.

The ideal candidate should have hands-on experience in Cloud computing on AWS, developing scripts using Python and developing ETL processes whilst displaying a strong understanding of query execution plans and query optimization.

responsibilities

Develop analytics data pipelines
Develop ETL processes and scripts in Python for data integration, from multiple sources
Optimize and tune both SQL and NoSQL queries to ensure efficient and seamless data processing and delivery across our data pipelines
Develop and maintain data architecture standards, principles, and models for efficient data integration and management
Effectively communicate with stakeholders to understand business needs and translate them into technical requirements

requirements

2+ years of experience in Cloud computing on AWS
Experience with Spark
Knowledge of Databricks
2+ years of experience in developing scripts using Python
Strong knowledge and expertise with SQL and NoSQL Databases
Experience with Data architecture

lead data integration engineer

Data Integration

ETL/ELT Solutions, SnapLogic

40 hrs/week

12+ months

Georgia, Poland

We are seeking an experienced remote Lead Data Integration Engineer to join our team.

The ideal candidate must have proven experience in Data Integration and strong knowledge of ETL/ELT Solutions, SnapLogic, and other relevant tools. As a Lead Data Integration Engineer, you will be responsible for developing and maintaining the Crop Protection R&D Data & Analytics platform. You will lead a team of integration engineers and collaborate effectively with cross-functional teams to ensure the successful delivery of projects. In addition, you will be responsible for managing project timelines, budget, and scope.

responsibilities

Design and develop optimal data integration solutions to meet project requirements
Manage and lead a team of integration engineers
Collaborate effectively with cross-functional teams to validate data requirements and ensure data quality
Monitor and maintain the data integration platform, ensuring data is accurate and timely
Design, develop, and maintain technical documentation on integration processes

requirements

Minimum of 5 years of relevant work experience in Data Integration
1+ years of relevant leadership experience
Strong experience in implementing SnapLogic with a solid understanding of ETL/ELT Solutions
Strong knowledge of Database concepts, Data Modeling, Data Warehousing, and Data Governance
Experience in leading teams and stakeholder management
Excellent communication skills and the ability to work in a fast-paced and dynamic environment
B2+ English level

nice to have

Experience with API technologies and implementation
Previous experience in building and maintaining R&D data platforms

senior data integration engineer

Data Integration

ETL/ELT Solutions, SnapLogic

40 hrs/week

12+ months

Georgia, Poland

Our tech company is seeking a remote Senior Data Integration Engineer who possesses expert skills in ETL/ELT solutions and proven experience in the implementation of Snaplogic.

In this position, you will play a critical role in building the Crop Protection R&D Data & Analytics platform. If you're a highly analytical person with outstanding problem-solving skills, we encourage you to apply for this exciting opportunity to join our team.

responsibilities

Design and implement scalable data integration solutions
Maintain and optimize the efficiency of data integration processes
Collaborate with cross-functional teams to ensure the successful delivery of projects
Provide guidance and mentorship to junior team members
Serve as a technical subject matter expert on all data integration matters

requirements

3+ years of experience in Data Integration
Must have expert knowledge in ETL/ELT solutions
Proven experience in the implementation of Snaplogic
Upper-Intermediate English level (B2+)
Bachelor's degree in a relevant field

senior data engineer (databricks)

Data Software Engineering

Amazon Web Services, Databricks, Python

40 hrs/week

12+ months

Poland

We are looking for a remoted Senior Data Engineer with strong experience in Databricks to join our project.

The ideal candidate will have knowledge of Big Data technologies, primarily Spark.

responsibilities

Design and implement efficient data pipelines and ETL processes
Collaborate with cross-functional teams to develop and implement data-driven solutions
Optimize data models and queries for performance
Develop and maintain data documentation and data lineage
Mentor and provide technical leadership to junior team members

requirements

3+ years of software engineering experience
Strong experience in Databricks
Experience with AWS, Python, Big Data
Hands-on knowledge of Spark
Good leadership skills
Upper-Intermediate level of English (B2+)

nice to have

Familiarity with Apache Hive

senior data engineer (python, databricks)

Data Software Engineering

Amazon Web Services, Databricks, Python

40 hrs/week

12+ months

Poland

We are seeking a talented remote Senior Data Engineer with strong experience in Data Software Engineering.

The ideal candidate will have Big Data technologies, primarily Spark, work with cross-functional teams to design, develop, and deploy high-performance data pipelines.

responsibilities

Design, develop and deploy high-performance data pipelines
Work with cross-functional teams to deliver complex projects
Develop, maintain and optimize ETL processes
Troubleshoot and optimize data pipeline processes
Create and maintain data models and databases

requirements

3+ years of software engineering experience
Good knowledge of Big Data technologies, primarily Spark
Experience with DSE Python, AWS, and Databricks
Familiarity with Python
Upper-Intermediate English level (B2+)

nice to have

Knowledge of Apache Spark and Apache Hive

senior data engineer python (databricks)

Data Software Engineering

Amazon Web Services, Databricks, Python

40 hrs/week

12+ months

Poland

We are seeking a remote Senior Data Engineer with expertise in Python and Databricks to join our team.

The ideal candidate should be familiar with AWS and ETL/ELT solutions. The role requires excellent communication skills to collaborate efficiently with cross-functional teams.

responsibilities

Design and develop ETL processes for data integration
Deploy ETL models on scalable platforms
Automate and scale the current labeling process for increased efficiency
Collaborate with the client Scrum Master to provide updates and gather requirements
Participate in Scrum ceremonies to ensure timely deliverables

requirements

Minimum of 3 years of experience in data software engineering
Proficient in Python and Databricks
Strong knowledge of AWS and ETL/ELT solutions
Familiarity with SQL and GitLab
Excellent communication skills and ability to work in a team environment
Good written and verbal communication skills in English (B2+)

senior data engineer with databricks

Data Software Engineering

Databricks, Amazon Web Services, Python

40 hrs/week

12+ months

Poland

We are seeking a remote Senior Data Engineer with strong skills in Data Software Engineering, specifically in Databricks.

The role will involve designing, developing, and implementing data engineering solutions using Azure Data Factory, Python, and SQL. The ideal candidate will collaborate with the team to identify and resolve complex data engineering issues and provide coaching and guidance for junior data engineers.

responsibilities

Design, develop, and implement data engineering solutions using Azure Data Factory, Python, and SQL
Build and optimize data pipelines, data ingestion, and data transformation processes
Create technical documentation for data engineering solutions, data flows, and data models
Collaborate with the team to identify and resolve complex data engineering issues
Provide coaching and guidance for junior data engineers on the team

requirements

Minimum of 3 years of experience in developing Data Software Engineering solutions using Databricks, Azure Data Factory, Python, and SQL
Strong experience with cloud-based platforms such as Azure, AWS, or GCP
Knowledge of Big Data technologies such as Hadoop, Hive, Spark, or Kafka
Excellent analytical and problem-solving skills
Demonstrated communication and collaboration skills
B2+ English level

nice to have

Experience with SQL

Data Engineer Jobs in Poland

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