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senior data engineer

Data Software Engineering

Python, Amazon Web Services, Databricks

40 hrs/week

12+ months

Poland

We are searching for a skilled Senior Data Engineer to join our team.

If you are proficient in Python and AWS, and you have experience with migrating GCP BigQuery and DataFlow pipelines into Databricks hosted on AWS, we invite you to apply for this exciting opportunity.

responsibilities

Collaborate with the team on the migration of GCP BigQuery and DataFlow pipelines to Databricks hosted on AWS, ensuring a seamless transition
Design, develop, and optimize data pipelines using Python, Spark, and Databricks to meet business requirements and enhance data processing efficiency
Work closely with cross-functional teams to understand data requirements and contribute to the architecture and implementation of data solutions
Perform data modeling and transformation tasks to prepare data for analysis and reporting
Collaborate on code reviews, ensuring the quality and reliability of data pipelines
Troubleshoot and resolve issues related to data pipelines, ensuring smooth and consistent data flow

requirements

A minimum of 3 years of relevant experience as a Data Software Engineer, demonstrating your proficiency in developing and optimizing data solutions
Strong familiarity with AWS, leveraging its resources for hosting and managing data solutions
Proficiency in Python, utilizing its capabilities to build robust and efficient data pipelines
Experience with Apache Spark, enabling you to work with large-scale data processing and analysis
Expertise in Databricks, particularly in the context of migrating pipelines and working on AWS-hosted platforms
Solid command of SQL, allowing you to perform data transformations and analysis effectively
Fluent English communication skills at a B2+ level, facilitating effective collaboration with a diverse team

nice to have

Familiarity with GCP, particularly experience with BigQuery and DataFlow
Knowledge of GCP BigQuery and DataFlow, aiding in the migration process and facilitating collaboration across platforms

senior data software engineer

Data Software Engineering

Apache Spark, Microsoft Azure, Python

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 globally recognized company that specializes in delivering innovative technology solutions. We are currently seeking a hands-on technical expert to collaborate closely with development peers, product leadership, and other technical staff to create innovative data integration solutions. The successful candidate will have the opportunity to contribute significantly to the design, development, and optimization of features in a dynamic Agile development environment.

responsibilities

Designing and implementing data integration solutions that meet business requirements and are scalable, efficient, and reliable
Collaborating with data scientists to transform their models into production-ready solutions
Developing and implementing data integration processes and workflows using Apache Spark and Databricks
Working closely with cross-functional teams to identify and resolve data-related issues and ensure data quality
Implementing MLOps processes to ensure that machine learning models are deployed and maintained in production environments
Designing and implementing data architecture and storage solutions in Microsoft Azure
Designing and implementing data migration solutions to migrate data from on-premise systems to Microsoft Azure
Performing code reviews, ensuring code quality and adherence to standards
Mentoring junior team members, helping them enhance their skills and grow their careers
Actively participating in architectural and technical discussions

requirements

At least 3 years of experience in software engineering with a focus on data integration solutions
Experience with Apache Spark for processing large datasets, and Databricks for data integration and machine learning workflows
Expertise in Microsoft Azure for cloud-based infrastructure and application management
Deep understanding of Python programming language and knowledge of forecasting models and statistical models
Experience with MLOps for taking data science models and making them production ready
Familiarity with Git for version control
Excellent knowledge of SQL and relational tables
Ability to design and develop scalable and efficient data integration pipelines using Python, Spark, and other relevant technologies
Experience with developing machine learning models and utilizing ML tools and libraries
Excellent communication skills in spoken and written English, at an upper-intermediate level or higher

nice to have

Experience with Panda library for data manipulation and analysis is a plus
Knowledge of cloud computing concepts such as regions and ADLS
Experience with other Microsoft Azure services such as Azure Data Factory and Azure Stream Analytics

senior data engineer

Data Integration

BigQuery Datasets, Cloud Composer, Google Cloud Platform

40 hrs/week

12+ months

Poland

Currently, we are looking for a remote Senior Data Engineer to join our global team

Currently, we are looking for a remote Senior Data Engineer to join our global team. The customer is a telemedicine company based in Boston that connects patients with doctors over secure video.

responsibilities

Manage, utilize, move and transform data to create reports for senior management and clients
Conduct business analysis on data requests to ensure clarity on the need and proper data usage adherent to security mandates
Build various ETL pipelines among the various tools in play to surface data for consumption by our Reporting Tool
Competing requests from internal and external stakeholders in addition to keeping the reporting infrastructure on par with new product functionality and release cycles
Become a Subject Matter Expert in data classification within the platform and utilize your expertise to identify the most efficient path to deliver data from A to B as needed
Working hand in hand with Hosting, Analytics and Product
Be accountable for the delivery of accurate and timely reporting solutions

requirements

3+ years of experience as Data Engineer
Strong knowledge of GCP Databases
Strong knowledge of Google BigQuery
Strong knowledge of SQL

senior data software engineer

Data Software Engineering

Databricks, Python, Microsoft Azure

40 hrs/week

12+ months

Poland

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

The successful candidate will be responsible for building enterprise data platforms and data products. The individual will work with a team of developers and stakeholders to design and implement high-performance solutions that meet business needs.

responsibilities

Design and develop enterprise data platforms and data products
Work with stakeholders to identify business needs and requirements
Collaborate with other developers and data engineers to design and implement solutions
Implement event-driven architecture to support real-time data processing
Develop and maintain data pipelines and ETL processes
Ensure that the data platform meets performance and scalability requirements
Monitor the performance of data platforms and address issues as they arise
Work with data scientists and analysts to deliver data-driven insights
Stay up-to-date with emerging technologies and industry trends
Communicate effectively with stakeholders and team members

requirements

At least 3 years of experience in building data platforms
Demonstrated experience in implementing big data high-performance solutions
Strong primary skills in data and experience with Databricks and Python
Experience with Microsoft Azure and its big data services
Knowledge and preferably experience with event-driven architecture
Experience with development and deployment of data products
Excellent problem-solving skills and ability to work well in a team environment
Ability to work independently, prioritize tasks and meet deadlines
Strong communication skills in English, both written and verbal (B2+ level)

nice to have

Experience with Apache Spark
Experience with Kubernetes and Docker
Experience with SQL and NoSQL databases
Experience with data visualization tools such as Tableau

senior data software engineer

Data Software Engineering

Apache Spark, Microsoft Azure, Python

40 hrs/week

12+ months

Poland

We are seeking a remote Senior Data Software Engineer to join our team in building a data integration solution.

We are seeking a Senior Data Software Engineer to join our team in building a data integration solution. The Senior Data Software Engineer will take responsibility for the development and execution of the data engineering strategy, working closely with data scientists and other stakeholders to ensure that data is transformed into valuable insights. The ideal candidate will have a strong background in data engineering, machine learning, and software development.

responsibilities

Collaborate with data scientists to build and deploy machine learning models in production
Design and develop data pipelines, data processing systems, and APIs for data integration and analysis
Optimize data pipelines for performance and scalability
Ensure data quality, accuracy, and consistency through data validation and testing
Develop and implement MLOps processes to monitor and maintain machine learning models
Work with stakeholders to understand data requirements and provide solutions to meet their needs
Design and implement data security and privacy measures to protect sensitive data
Stay up-to-date with emerging trends and technologies in data engineering and machine learning
Provide technical guidance and mentorship to junior team members

requirements

Minimum 3+ years of experience in data engineering or software development roles
Proficiency in Apache Spark, Microsoft Azure, and Databricks for data processing and management
Expertise in Python programming language and associated data science libraries such as Pandas and NumPy
Experience in building forecasting models, statistical models, and machine learning models
Strong knowledge of MLOps and deploying machine learning models in production
Experience with Git for version control and team collaboration
Good understanding of Azure concepts such as clouds, regions, and compute
Ability to work in a fast-paced environment and deliver results under tight deadlines
Excellent English communication skills, both written and verbal, for effective global collaboration (B2+)

nice to have

Experience with SQL and relational databases for data management
Familiarity with cloud-based data warehousing solutions such as Azure Data Lake Storage (ADLS)
Knowledge of other machine learning tools and platforms such as TensorFlow and PyTorch
Experience with data visualization tools such as Tableau and Power BI

senior data software engineer

Data Software Engineering

Apache Spark, Microsoft Azure, Python

40 hrs/week

12+ months

Poland

Join our remote team as a Senior Data Software Engineer with ML/Data Science experience.

Join our remote team as a Senior Data Software Engineer with ML/Data Science experience within a global leader in providing cutting-edge technology solutions. We are looking for a hands-on and experienced data software engineer who has a deep understanding of Apache Spark, Microsoft Azure, and Python. The successful candidate will be responsible for developing and implementing forecasting models, as well as designing and maintaining data pipelines. The role requires a strong understanding of data analytics and machine learning principles, and the ability to work collaboratively with cross-functional teams.

responsibilities

Designing and implementing forecasting models using machine learning algorithms
Developing and maintaining data pipelines for efficient data processing and analysis
Collaborating with cross-functional teams to identify business requirements and translate them into technical solutions
Creating and maintaining technical documentation for all data engineering projects
Working with data scientists to ensure that models are production-ready
Ensuring that all data engineering solutions are of high quality, reliable, and scalable
Troubleshooting and resolving data-related issues in a timely and efficient manner
Maintaining up-to-date knowledge of emerging data engineering technologies and trends
Participating in code reviews to ensure code quality and adherence to standards

requirements

At least 3+ years of experience in Data Software Engineering with a focus on ML/Data Science
Expertise in Apache Spark, Microsoft Azure, and Python
Experience in forecasting models development and implementation
Deep understanding of data analytics and machine learning principles
Good knowledge of Git for version control
Familiarity with Databricks and MLOps for efficient model deployment and management
Experience in developing and maintaining data pipelines
Excellent communication skills in spoken and written English, at an upper-intermediate level or higher

nice to have

Knowledge of Panda for data manipulation and analysis
Experience with SQL and relational tables
Understanding of statistical models and their practical applications

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 working on a project that involves Databricks workflows, APIs, analytical development, and data engineering. In this position, you will be responsible for building and maintaining complex data pipelines, as well as enabling deployment to production. You will also be working on end-to-end production solutions and collaborating with cross-functional teams to deliver high-quality solutions.

responsibilities

Collaborate with cross-functional teams to design and implement complex data pipelines
Develop and maintain high-quality code to enable production deployment
Develop and maintain end-to-end production solutions
Ensure the quality and integrity of data for analytical purposes
Troubleshoot and debug data issues as they arise
Participate in code reviews, ensuring code quality and adherence to standards
Work closely with Data Scientists and business stakeholders to deliver high-quality solutions
Ensure that solutions are scalable and maintainable over time
Document development processes, procedures, and standards
Stay up-to-date with industry trends and emerging technologies

requirements

At least 3 years of experience in Data Software Engineering or related fields
Strong experience with Databricks and Microsoft Azure for data engineering and analytics
Expertise in Python, PySpark, and SQL with knowledge on how to build both within dev and enabling deployment to production
Proven experience in building robust data pipelines with thoughtful design
Experience with Azure DevOps, GitHub, (or others), and version control
Experience in developing end-to-end production solutions
Strong ability to tie loose ends together for solutions across systems
Excellent communication skills in spoken and written English, at an upper-intermediate level or higher

nice to have

Experience with REST APIs and S3 would be a plus

lead data engineer

Python.Data

Pandas, Python, SQL

40 hrs/week

12+ months

India

We are looking for a skilled remote Lead Data Engineer to join our team and help build data pipelines for our projects.

You will be responsible for managing and developing data pipelines, as well as overseeing a team of Data Engineers. This role requires extensive knowledge of Python and SQL, with a focus on data manipulation using Pandas.

responsibilities

Collaborate with other teams, including Data Scientists and Data Analysts, to understand business requirements and build data pipelines accordingly
Design and develop scalable data pipelines using Python and SQL
Oversee a team of Data Engineers, providing guidance and support as needed
Ensure the quality of data pipelines, including data accuracy, reliability, and efficiency
Create and maintain technical documentation for data pipelines and related systems
Implement and maintain security and compliance measures for data pipelines
Stay up-to-date with the latest trends and technologies in data engineering

requirements

Minimum of 5 years of experience in building data pipelines, with direct experience in using SQL
Proficient in Python, with specific experience in data manipulation using Pandas
Strong leadership skills, with experience in leading and managing a team (1+ year experience)
Excellent communication skills, with the ability to collaborate with other teams effectively
Fluent in English, with an Upper-Intermediate level of proficiency

senior data and web analyst for a financial information company

Data Integration

SQL, Microsoft SQL Server

40 hrs/week

12+ months

Poland

We are currently looking for a remote Senior Data & Web Analyst with 5 years of experience in Data base solutions/programming to join our team.

We are currently looking for a remote Senior Data & Web Analyst with 5 years of experience in Database solutions/programming to join our team. The customer is a British-based stock exchange and financial information company. It helps companies to raise capital and investors build their portfolios across a range of global markets.

responsibilities

Development of high quality database solutions on MS SQL server
Review and interpret ongoing business report requirements
Research required data
Build appropriate and useful reporting deliverables
Analyze existing SQL queries for performance improvements
Suggest new queries
Develop procedures and scripts for data migration
Provide timely scheduled management reporting
Performance tuning/Rewriting T-SQL procedures
Suggest new scalable solutions

requirements

5+ years of experience in Data base solutions/programming
Good understanding of Agile methodologies
Good communication skills
Knowledge of SQL
Experience with Microsoft SQL Server
Proficient English (written and spoken) B2

senior data software developer

Data Software Engineering

Databricks, Python, PySpark

40 hrs/week

12+ months

Poland

We are seeking a remote Senior Data Software Developer to join our team.

The ideal candidate should also have experience working with Python and Azure Databricks. The successful candidate will develop reusable DataBricks components for data ingestion and data analytics, ingest data into data lake for reporting and predictive modelling, ensure security controls, integrate data governance and establish clear auditable data lineage. They will collaborate with architects, technical leads and key individuals within other functional groups. The Senior Data Software Developer will also actively participate in code review, test solutions and write project documentation.

responsibilities

Build reusable DataBricks components for data ingestion and data analytics
Ingest data via batch, streaming, replication into data lake for reporting and predictive modelling
Ensure security controls, integrate with data governance and establish clear auditable data lineage
Collaborate with architects, technical leads and key individuals within other functional groups
Participate in code review, testing solutions and writing project documentation

requirements

At least 3 years of experience in Data Software Engineering
Proficiency in Python and Azure Databricks is a must
Experience building data ingestion pipelines, Data Warehouse or Database architecture
Data modeling skills with hands-on development experience with modern Big Data components
Cloud experience in designing, deploying and administering scalable, available and fault-tolerant systems
An extensive understanding of regulatory compliance such as PI, GDPR, HIPAA
B2+ English level

nice to have

Leadership skills

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