Databricks Developer Jobs

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devops engineer with azure databricks

Data Software Engineering

Databricks, Python, SQL

40 hrs/week

12+ months

Poland

We are looking for a senior remote DevOps Engineer with expertise in Azure Databricks to join our team.

Candidate will be responsible for building and maintaining secure and compliant data processing pipelines using cloud services and Python/Scala languages.

responsibilities

Partner with SME’s and Tech Leads to ensure delivery on commitments
Design, implement and monitor data platforms to meet data pipeline needs
Responsible for data-related implementation tasks including implementing security requirements
Integrate, transform and consolidate data from various structured and unstructured data systems

requirements

At least 3 years of relevant experience in Data Platforms
Strong expertise in Azure Databricks, Azure Synapse Analytics, Data Factory, Data Lake, etc.
Proficiency in data processing languages such as SQL, JAVA, C# or Scala
Familiarity with security best practices, Azure Networking concepts and Azure DevOps
Excellent problem-solving, communication, presentation, documentation and interpersonal skills
Upper-intermediate English level (B2+)

nice to have

Agile development processes (SCRUM and Kanban)

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 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

senior data engineer (databricks and aws)

Data Software Engineering

Amazon Web Services, Databricks, Python

40 hrs/week

12+ months

Poland

We are looking for a remote Senior Data Engineer to join our project.

The candidate should have expert-level skills in AWS and Databricks, as well as extensive knowledge of Big Data technologies such as Spark, Python, Airflow, and Scala/Java. The candidate should have excellent communication skills and be able to work independently as well as in a team of professionals.

responsibilities

Work closely with Business Analysts and data analysts to understand requirements
Automate data ingestion processes and pre-processing
Enhance data sets by creating automated match rules
Develop ETL transformations for data from various data sources
Report activities through agreed project tools and timely report about risks/issues/dependencies

requirements

Minimum of 3 years of experience in Data Software Engineering
Extensive knowledge of AWS and Databricks
Expert-level skills in Python, Airflow and Spark
Experience working with unstructured files and creating automated match rules
Strong problem-solving skills and the ability to work independently or in a team
Good written and verbal communication skills in English (B2+)

nice to have

Knowledge of Scala

senior data developer (databricks and devops skills)

Data Software Engineering

Amazon Web Services, Databricks, Python

40 hrs/week

12+ months

Poland

We are looking for a remote Senior Data Developer with Databricks and DevOps skills to join our company.

The ideal candidate will be responsible for developing data-intensive applications and platforms using DBT, Azure cloud services, and CI/CD pipelines.

responsibilities

Developing data-intensive applications and platforms using DBT
Working with scripting languages such as Python, SQL and PySpark
Handling big data sets and big data technologies
Working with Agile and Kanban methodologies
Communication skills to engage technical developers, architects, and stakeholders

requirements

University degree in any IT discipline
Minimum 3+ years of experience in the IT industry
Proven experience as a Data Engineer or similar role in software development
Expertise in Databricks and DevOps skills
Strong knowledge of CI/CD pipelines and experience in a cloud environment
Proven experience in working with data engineering technologies such as ADLS, Azure SQL and AWS
Good written and verbal communication skills in English (B2+)

nice to have

Experience with Big Data tools such as Kafka, Hadoop and Spark

senior data software engineer

Data Software Engineering

Databricks, Python, PySpark

40 hrs/week

12+ months

Poland

Join our remote team as a Senior Data Software Engineer.

Join our remote team as a Senior Data Software Engineer within a global leader in digital transformation and technology services. We are looking for an experienced software developer with a strong background in data engineering to join our team. The ideal candidate will be responsible for implementing reusable DataBricks components for data ingestion and data analytics. They will have experience ingesting data into a data lake via batch, streaming, and replication and making data available for reporting and predictive modeling, as well as establishing security controls, integration with data governance, and clear auditable data lineage. The Senior Data Software Engineer will work collaboratively with architects, technical leads, and key individuals within other functional groups to develop and test solutions that meet best practice specifications.

responsibilities

Implementing reusable DataBricks components for data ingestion and data analytics
Ingesting data into a data lake via batch, streaming, and replication and making data available for reporting and predictive modeling
Establishing security controls, integration with data governance, and clear auditable data lineage
Collaborating with architects, technical leads, and key individuals within other functional groups to develop and test solutions that meet best practice specifications
Participating in code review and testing solutions to ensure they meet best practice specifications
Writing project documentation to ensure that other developers can easily understand and use the code
Building collaborative partnerships with architects, technical leads, and key individuals within other functional groups
Continuously updating skills and knowledge to keep up with industry trends and best practices

requirements

At least 3+ years of experience in software engineering with a focus on data engineering
Proficient in Python coding and PySpark development
Experience building data ingestion pipelines, Data Warehouse or Database architecture.
Hands-on experience with modern Big Data components like Databricks, SQL Azure, and Microsoft Azure
Experience in designing, deploying, and administering scalable, available, and fault-tolerant systems in a cloud environment
Strong ability to write clean, maintainable, and well-documented code
Experience in data modeling and working with data-oriented personality and compliance awareness, such as PI, GDPR, and HIPAA
Excellent communication skills in spoken and written English, at an upper-intermediate level or higher

nice to have

Experience with Power BI, Azure Synapse Analytics, and ADLS is a plus

senior data software engineer

Data Software Engineering

Databricks, Microsoft Azure, PySpark

40 hrs/week

12+ months

Poland

Join our remote team as a Senior Data Software Engineer.

Join our remote team as a Senior Data Software Engineer within a company that specializes in analytical development and data engineering. We are actively seeking a hands-on and deeply technical engineer to collaborate closely with development peers, product leadership, and other technical staff to create innovative and impactful solutions. This role offers an opportunity to contribute significantly to the design, development, and optimization of features in a dynamic development environment.

responsibilities

Design and develop data pipelines using Databricks workflows and APIs such as S3, PBI, REST, etc
Ensure high-quality standards at every stage of development and deployment
Guarantee reliability, availability, performance, and scalability of systems
Collaborate with Developers, Product and Program Management, and senior technical staff to deliver customer-centric solutions.
Provide technical input for new feature requirements, partnering with business owners and architects
Ensure continuous improvement by staying abreast of industry trends and emerging technologies
Drive the implementation of solutions aligned with business objectives.
Mentor and guide less experienced team members, helping them enhance their skills and grow their careers
Participate in code reviews, ensuring code quality and adherence to standards
Collaborate with cross-functional teams to achieve project goals
Actively contribute to architectural and technical discussions

requirements

At least 3 years of production experience in data software engineering
Be hands-on with deep expertise in building data pipelines using SQL and one or more languages from Python, Spark, PySpark
Experience with Databricks and Microsoft Azure for building and deploying data solutions
Expertise in developing end-to-end production solutions with a focus on cloud platforms, with a strong preference for Azure
Experience with Git, Azure DevOps, or GitHub for version control and collaboration
Ability to tie loose ends together for solutions across systems, ensuring reliability, availability, performance, and scalability of systems
Excellent communication skills in spoken and written English, at an upper-intermediate level or higher

nice to have

Experience with Azure DevOps and GitHub for version control and collaboration
Experience with other cloud platforms such as GCP and AWS

senior data integration engineer

Data Integration

ETL/ELT Solutions, Azure Data Lake Storage, Databricks

40 hrs/week

12+ months

Poland

We are seeking a skilled Senior Data Integration Engineer to join our remote team.

We are looking for an experienced Senior Data Integration Engineer to join our team. As a Senior Engineer with 3+ years of relevant production experience, you will play a key role in designing, developing, and implementing data integration solutions. You will leverage your expertise in ETL/ELT solutions, Azure Data Lake Storage, Databricks, Azure Data Factory, MySQL, PostgreSQL, MS SQL.SQL, Oracle, SQL, and Python to deliver high-quality and scalable data integration processes. If you thrive in a challenging environment and have a passion for data integration, we want to hear from you.

responsibilities

Lead the design and development of data integration solutions, including ETL/ELT processes and data pipelines
Collaborate with stakeholders to gather and analyze data integration requirements
Provide technical guidance and mentorship to junior team members
Ensure data quality and consistency across integrated systems
Optimize data integration workflows for performance and scalability
Troubleshoot and resolve complex data integration issues
Stay up-to-date with industry trends and emerging technologies in data integration

requirements

Bachelor's degree in Computer Science, Information Systems, or a related field
3+ years of relevant production experience in data integration
In-depth knowledge of ETL/ELT solutions and data integration best practices
Strong proficiency in Azure Data Lake Storage, Databricks, and Azure Data Factory
Extensive experience with MySQL, PostgreSQL, MS SQL.SQL, and Oracle
Expert-level skills in SQL and Python for data manipulation and transformation
Solid understanding of data modeling and database design principles
Proven track record of successfully delivering complex data integration projects
Strong problem-solving and analytical skills
Excellent communication and leadership abilities
B2+ English level

nice to have

Experience with cloud-based data integration platforms such as AWS Glue or Google Cloud Dataflow
Familiarity with big data technologies like Hadoop and Spark
Knowledge of data warehousing concepts and tools
Understanding of data governance and data management practices
Ability to architect and implement real-time data integration solutions

senior data software engineer

Data Software Engineering

Databricks, Microsoft Azure, PySpark

40 hrs/week

12+ months

Poland

Join our remote team as a Senior Data Software Engineer.

Join our remote team as a Senior Data Software Engineer to work on exciting projects involving Databricks workflows, APIs, and analytical development. You will be an integral part of our team and must possess expertise in building and deploying production solutions using Azure, Python, Spark, PySpark, and SQL. We require a thoughtful and knowledgeable candidate who can create robust data pipelines and tie together loose ends for solutions across systems.

responsibilities

Collaborate with stakeholders to design, develop, and deploy data pipelines for various use cases
Develop and maintain robust ETL processes to extract, transform, and load data from various sources
Design and develop data models to support reporting and analytics use cases
Ensure data quality and reliability by implementing data validation and error handling mechanisms
Optimize data pipelines for performance and scalability
Troubleshoot and resolve data pipeline issues in a timely manner
Develop and maintain technical documentation for data pipelines and data processes
Contribute to the development of data engineering best practices and standards

requirements

At least 3 years of relevant experience in data software engineering and development
Proven track record of building end-to-end production solutions
Expertise in one of the languages (Python, Spark, PySpark, SQL) with knowledge on how to build both within dev and enabling deployment to production
Experience using Databricks for data engineering
Ability to analyze, troubleshoot, and optimize data pipelines for performance and reliability
Experience working on one or more cloud platforms (Azure, GCP, AWS), with a strong preference for Azure
Ability to design and develop robust, scalable, and efficient data pipelines
Experience using Azure DevOps, GitHub, (or others) and version control
Ability to write and maintain technical documentation for data pipelines and data processes
Excellent communication skills in spoken and written English, at an upper-intermediate level or higher

nice to have

Experience with RESTful APIs and other data transfer protocols
Experience with data visualization tools like Power BI
Experience with Agile software development methodologies

middle r developer

R Language

Apache Spark, Databricks

40 hrs/week

12+ months

Poland

We are looking for a remote Middle R Developer to join our team and work on an exciting project to define Spark R packages and integrate them into Databricks.

In this role, you will work on implementing R models and R packages in Spark and optimizing the code. As a member of the team, you will be responsible for designing, developing, and maintaining high-quality code that meets the project's objectives and requirements.

responsibilities

Define and implement Spark R packages for the project
Integrate Spark R into Databricks and ensure smooth operation
Collaborate with other developers and data scientists to implement R models in Spark and optimize the code
Contribute to the design and development of high-quality code that meets the project's objectives and requirements
Participate in code reviews, testing, and debugging to ensure high-quality code
Document the code and provide technical support to other team members
Continuously learn and stay up-to-date with the latest technologies and best practices in R and Spark development

requirements

At least 2 years of experience in R Language development, including implementation of R models and R packages
Expertise in Apache Spark and Databricks, with a deep understanding of their architecture and components
Strong analytical and problem-solving skills, with the ability to troubleshoot complex issues and provide effective solutions
Experience with code optimization techniques to improve performance
Ability to work independently and as part of a team, with excellent communication and collaboration skills
Upper-Intermediate or higher level of English proficiency, both written and verbal

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