CrawlJobs Logo

Senior Data Engineer

Poland · Job Posted December 08, 2025
Apply Position
Job Link Share

Job Description

Join a leading energy sector analytics company as we expand our innovative data products that revolutionize document analysis. As a Data Engineer, you will focus on executing defined tasks to support our data product coverage. You’ll work closely with a talented team of engineers to ensure high-quality data solutions. Here, you’ll find a culture that values collaboration and encourages learning and growth.

Job Responsibility

  • Develop and maintain scalable data pipelines using Python, SQL, AWS services(Amazon Bedrock, S3), and Databricks
  • Build and optimize ETL jobs in Databricks using PySpark, ensuring efficient processing of large-scale distributed datasets
  • Play a pivotal role in enhancing the breadth and depth of our courthouse data products
  • Utilize your Python expertise to parse complex datasets, manipulate intricate image data, and craft innovative data products that meet our customers’ evolving needs
  • Champion data quality, consistency, and reliability throughout our product lifecycle
  • Contribute to the development of new features and the continuous improvement of existing data systems
  • Design and implement distributed data engineering solutions in Databricks, leveraging PySpark for optimized workflows

Requirements

  • At least 5 years of experience as a Data Engineer, with a proven track record of successful projects
  • Solid experience with relational database systems, particularly SQL Server
  • Advanced proficiency in Python and PySpark – the languages of data manipulation and analysis
  • Expertise in Databricks as a distributed data engineering platform
  • Expertise with Airflow and Grafana
  • Ability to collaborate effectively within a team environment and meet project deadlines
  • Strong communication skills and fluency in English

Nice to have

  • Knowledge of cloud platforms such as AWS, Azure, or Google Cloud
  • Experience with containerization technologies like Docker and Kubernetes

What we offer

  • Remote-first work model with flexible working hours (we provide all equipment)
  • Comfortable and fully equipped offices in Lviv and Rzeszów
  • Competitive compensation with regular performance reviews
  • 18 paid vacation days per year + all state holidays
  • 12 days of paid sick leave per year without a medical certificate + extra paid leave for blood donation
  • Medical insurance with an affordable family coverage option
  • Mental health program which includes free and confidential consultations with a psychologist
  • English, German, and Polish language courses
  • Corporate subscription to learning platforms, regular meetups and webinars
  • Friendly team that values accountability, innovation, teamwork, and customer satisfaction
  • Inclusive environment where everyone feels valued and treated equally. We proudly partner with VeteranHub to support Ukrainian veterans
  • We are committed to supporting Ukraine and actively participate in charity initiatives

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Senior Data Engineer

8 matching positions

New

Senior Data Engineer

Senior Data Engineer - UKRAINE - REMOTE. We are looking for an experienced Senio...
Location
Location
Ukraine
Salary
Salary:
Not provided
valtech.com Logo
Valtech
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong hands-on experience with Apache Spark and Delta Lake
  • strong programming skills in Python and SQL
  • proven experience building batch and streaming data pipelines and production-grade data platforms
  • solid understanding of data modeling, data quality, and governance principles
  • experience with one or more major cloud platforms, with preference for Microsoft Azure / Fabric, as well as AWS or GCP
  • familiarity with modern data platforms such as Databricks and Snowflake
  • experience with lakehouse architectures and distributed data systems
  • strong understanding of scalability, reliability, and performance considerations in data pipelines
  • strong problem-solving skills focused on scalability and reliability
  • collaborative approach to working in cross-functional teams
Job Responsibility
Job Responsibility
  • Build & Data Platform Engineering: design and implement scalable data platforms and pipelines across cloud environments
  • develop reliable batch, streaming, and near-real-time pipelines using technologies such as Spark and Delta Lake
  • build ingestion, transformation, and curation workflows for both structured and unstructured data
  • implement modern data architectures including lakehouse patterns and medallion layering (bronze, silver, gold)
  • Enable AI, GenAI & Data Products: deliver high-quality datasets that support analytics, machine learning, causal modeling, and optimization systems
  • enable data pipelines for GenAI use cases (including LLMs, RAG pipelines, and vector-based data flows) and agent-based architectures and intelligent workflows
  • Data Modeling, Orchestration & Automation: design scalable logical and physical data models for analytical and operational use cases
  • orchestrate workflows using tools such as Airflow, dbt, Lakeflow, or equivalents
  • Architecture, Governance & Observability: apply modern architecture patterns including event-driven and streaming architectures
  • ensure adherence to best practices in data governance, lineage, quality, and access control (RBAC/ABAC)
What we offer
What we offer
  • Mental and physical health: Medical insurance
  • Sports reimbursement budget
  • Home office support
  • A number of free psychological and legal consultations
  • Maternity and paternity leave support
  • Personal and professional development: Internal workshops and learning initiatives
  • English language classes compensation
  • Professional certifications reimbursement
  • Participation in professional local and global communities
  • Growth Framework to manage expectations and define the steps to move towards the selected career
  • Fulltime
Read More
Arrow Right
New

Senior Data Engineer

We are looking for an experienced Senior Data Engineer to design, build, and opt...
Location
Location
Poland
Salary
Salary:
Not provided
valtech.com Logo
Valtech
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong hands-on experience with Apache Spark and Delta Lake, and strong programming skills in Python and SQL. Proven experience building batch and streaming data pipelines and production-grade data platforms, with solid understanding of data modeling, data quality, and governance principles. Experience with one or more major cloud platforms, with preference for Microsoft Azure / Fabric, as well as AWS or GCP. Familiarity with modern data platforms such as Databricks and Snowflake is expected. Experience with lakehouse architectures and distributed data systems, and strong understanding of scalability, reliability, and performance considerations in data pipelines. Strong problem-solving skills focused on scalability and reliability, with a collaborative approach to working in cross-functional teams.
Job Responsibility
Job Responsibility
  • Design and implement scalable data platforms and pipelines across cloud environments
  • develop reliable batch, streaming, and near-real-time pipelines
  • implement modern data architectures including lakehouse patterns and medallion layering
  • deliver high-quality datasets supporting analytics, machine learning, causal modeling, and optimization systems
  • enable data pipelines for GenAI use cases
  • design scalable logical and physical data models
  • orchestrate workflows using tools such as Airflow, dbt, Lakeflow
  • apply modern architecture patterns including event-driven and streaming architectures
  • ensure adherence to best practices in data governance, lineage, quality, and access control
  • establish strong data observability
What we offer
What we offer
  • 24 working days of paid vacation
  • National holidays covered
  • Sick leave (up to 20/year)
  • Unpaid leave (up to 20/year)
  • Medical insurance
  • Multisport card OR Multikafeteria
  • Maternity & paternity leave support
  • Internal workshops & learning initiatives
  • Professional certifications reimbursement
  • Participation in professional local & global communities
  • Fulltime
Read More
Arrow Right
New

Senior Data Engineer

The Opportunity: We are currently partnering with several leading technology con...
Location
Location
United Kingdom , United Kingdom
Salary
Salary:
100.00 GBP / Day
myn.co.uk Logo
Myn
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Extensive experience in designing, building, and maintaining production-grade data pipelines
  • Proficiency in Python and SQL for data manipulation and transformation
  • Strong understanding of cloud architecture and services
  • Experience with DevOps practices, including CI/CD and infrastructure as code
  • Proven ability to design and optimise data models and architectures
  • Experience implementing data quality, governance, and compliance standards
  • Excellent documentation and technical communication skills
  • Demonstrable ability to collaborate effectively with cross-functional teams
Job Responsibility
Job Responsibility
  • End-to-end lifecycle of robust, scalable data pipelines
  • Ensure data systems are efficient, reliable, and capable of supporting complex analytical and operational requirements
  • Work closely with cross-functional teams to translate business needs into technical solutions
  • Drive the evolution of cloud-based systems while maintaining rigorous standards for data quality, governance, and infrastructure automation
  • Fulltime
Read More
Arrow Right
New

Senior Data Engineer

We are seeking an experienced Data Engineer to help build and scale our modern d...
Location
Location
India , Pune
Salary
Salary:
Not provided
nttdata.com Logo
NTT DATA
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of data engineering experience in a cloud environment
  • Strong proficiency with Microsoft Fabric (Lakehouses, Spark, Data Factory, Pipelines)
  • Hands-on experience with Apache Airflow for workflow orchestration
  • Experience with DBT (Data Build Tool) for transformations, testing, and documentation
  • Proficiency in SQL and at least one scripting language (Python preferred)
  • Familiarity with cloud infrastructure concepts and CI/CD practices
  • Understanding of data modelling concepts (dimensional, medallion architecture)
Job Responsibility
Job Responsibility
  • Design, build, and maintain scalable ELT/ETL pipelines using Microsoft Fabric and DBT
  • Orchestrate data workflows using Apache Airflow (scheduling, monitoring, alerting)
  • Implement data quality checks, testing frameworks, and data contract standards
  • Collaborate with analytics engineers and BI developers to deliver trusted data products
  • Contribute to data governance, cataloguing, and documentation practices
  • Fulltime
Read More
Arrow Right

Senior Data Engineer

*** Senior Data Engineer - 10 Months+ Contract - Hybrid -Vilnius, Lithuania*** R...
Location
Location
Lithuania , Vilnius
Salary
Salary:
Not provided
redglobal.com Logo
RED Commerce - The Global SAP Solutions Provider
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 5+ years of experience as a Data Engineer
  • 7+ years of experience in the overall IT area
  • Strong experience with PySpark and Databricks (AWS environment)
  • Proven experience building data pipelines and implementing Medallion architecture from scratch
  • Excellent communication skills with fluent English (spoken and written)
  • Strong stakeholder management skills with the ability to gather business requirements and translate into technical solutions
  • Able to join within 2-4 weeks of offer
Read More
Arrow Right
New

Senior Data Engineer

We’re looking for a Senior Data Engineer to help scale and evolve our data platf...
Location
Location
United States
Salary
Salary:
150000.00 - 180000.00 USD / Year
helpcare.ai Logo
Helpcare AI
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • A min of 5+ years of software engineering experience with the last 2-3 years in data engineering, ideally including early-stage or 0→1 environments
  • Strong Python programming experience
  • Advanced proficiency in SQL
  • Proven experience building ETL/ELT pipelines end-to-end
  • Experience with orchestration tools like Airflow
  • Deep understanding of the data lifecycle: ingestion → storage → processing → transformation → serving
  • Experience with cloud platforms (AWS, GCP, or Azure)
  • Experience supporting BI tools (Looker, Tableau, etc.)
  • Familiarity with modern data warehouses (Snowflake, BigQuery, Redshift)
Job Responsibility
Job Responsibility
  • Design and scale our data platform including pipelines, models, and orchestration frameworks
  • Develop scalable ETL/ELT pipelines for ingesting data from APIs, databases, and event streams
  • Define and implement systems for data ingestion, storage, processing, and transformation
  • Build and manage workflow orchestration using tools like Airflow
  • Build semantic layer as well as dashboards
  • Establish best practices for data modeling, testing, and quality
  • Partner with stakeholders to shape data requirements and enable BI and analytics use cases
  • Optimize systems for performance, scalability, and cost from day one
  • Apply software engineering principles (testing, CI/CD, modular design) to data infrastructure
  • Fulltime
Read More
Arrow Right
New

Senior Data Engineer

Senior Data Engineer. Must Haves: Strong hands-on experience building and suppor...
Location
Location
United States , Los Angeles
Salary
Salary:
Not provided
bhsg.com Logo
Beacon Hill
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong hands-on experience building and supporting production-grade data pipelines using PySpark and Apache Spark
  • Extensive experience working within Databricks environments
  • Experience with Databricks Unity Catalog migrations and modernization initiatives
  • Experience with Databricks Unity Catalog governance and security models
  • Strong understanding of ETL/ELT design, data modeling, and incremental data processing
  • Experience modernizing legacy data platforms and data migration projects
  • Experience working with large-scale datasets in cloud-based data platforms
  • Experience with workflow orchestration, scheduling, and pipeline automation
  • Knowledge of cloud data platforms such as Snowflake and/or Google Cloud
  • Experience implementing data quality checks, monitoring, logging, and alerting
Job Responsibility
Job Responsibility
  • Migrate existing data assets and pipelines to Databricks Unity Catalog
  • Refactor and optimize existing pipelines using modern engineering standards and best practices
  • Build and maintain scalable PySpark-based data pipelines
  • Develop new source-of-truth datasets and modernize legacy data workflows
  • Design and implement workflow orchestration using Databricks Jobs
  • Deploy and manage pipelines using Databricks Asset Bundles
  • Ensure data pipelines are reliable, observable, and production-ready
  • Implement data quality controls, monitoring, and operational alerting
  • Support platform migrations, testing, validation, and production cutovers
  • Partner with engineering teams to improve platform stability, scalability, and data reliability
  • Fulltime
Read More
Arrow Right
New

Senior Data Engineer

We are seeking an experienced Senior Data Engineer to join a leading automotive ...
Location
Location
Sweden , Gothenburg
Salary
Salary:
53333.00 - 66667.00 SEK / Month
amaris.com Logo
Amaris Consulting
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Strong hands-on experience with PySpark and Databricks in production environments
  • Advanced Python programming skills
  • Experience with Git/Gerrit and CI/CD pipelines (GitHub Actions, Jenkins, GitLab, or similar)
  • Solid knowledge of Docker and workflow orchestration tools such as Airflow or Databricks Jobs
  • Expertise in designing scalable, privacy-compliant data architectures and pipelines
  • Strong SQL skills and experience handling large-scale datasets
  • Experience with Azure cloud services and Snowflake (or equivalent cloud data warehouse technologies)
  • Knowledge of monitoring, observability, automated testing, and cost optimization practices
  • Familiarity with Power BI or similar BI and reporting tools
  • Understanding of automotive UDS diagnostics and vehicle signal data
Job Responsibility
Job Responsibility
  • Design and develop scalable data pipelines using PySpark and Databricks
  • Build and maintain raw and refined data products related to vehicle signals, software versions, drive cycles, distance measurements, and driver feedback
  • Optimize data processing performance, reliability, and cost efficiency
  • Implement monitoring, observability, automated testing, and usage tracking for data products
  • Collaborate with architects, engineers, Product Owners, and business stakeholders to deliver robust data solutions
  • Support documentation, knowledge transfer, and operational handovers
  • Contribute to technical leadership and best practices within the data engineering domain
What we offer
What we offer
  • An international community, bringing together 110+ different nationalities
  • An environment where trust has a central place: 70% of our key leaders started their careers at the first level of responsibilities
  • A robust training system with our internal Academy and 250+ available modules
  • A vibrant workplace that frequently gathers for internal events (afterworks, team buildings, etc.)
  • Opportunity to turn ideas into action and make a tangible impact through ESG commitments
  • WeCare Together program empowering employees to design and lead projects that create social or environmental impact
  • Fulltime
Read More
Arrow Right