Senior Data Engineer Job at Inetum (Warsaw)

New

Senior Data Engineer

In this role, you will work closely with the Digital Innovation team to design, ...

Location

Canada , Vancouver

Salary:

140000.00 - 175000.00 USD / Year

Klohn Crippen Berger

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field (or equivalent practical experience)
7+ years in data engineering and enterprise data platforms, including hands-on Microsoft Fabric experience
Hands-on experience with Microsoft Fabric, OneLake, and Power BI
Experience designing and implementing enterprise data pipelines and architectures
Strong understanding of Medallion Architecture and modern data platform concepts
Experience with Azure data services and cloud-based data platforms
Knowledge of RBAC, and compliance best practices
Strong analytical and troubleshooting skills
Experience working with large-scale enterprise datasets
Strong oral and written communication skills

Job Responsibility

Support the implementation, optimization and governance of Microsoft Fabric and OneLake environments
Develop and maintain scalable data ingestion pipelines, workflows and enterprise data models
Design and implement Medallion Architecture (Bronze, Silver, Gold) solutions
Support Power BI semantic modeling, reporting, and analytics initiatives
Integrate and support Microsoft Purview governance capabilities
Assist with data quality, RBAC, security, compliance, and governance requirements
Collaborate with technical stakeholders to support enterprise reporting and AI initiatives
Troubleshoot and optimize Fabric workloads, pipelines, and data models for scalability and performance
Document technical solutions, processes, and standards

What we offer

Hybrid work opportunities
Annual performance and salary review
Vacation policy that aligns to your experience
Flexible benefits, including RSP, social, and mental well-being initiatives
Paid OT, and sick days
Commitment to global ESG standards

Fulltime

New

Senior Data Engineer

Location

United Kingdom , London

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Data Engineering & Pipeline Architecture: End-to-end data engineering covering real-time and batch ingestion, ETL pipelines, and full lifecycle (ingestion → processing → consumption) using AWS, SQL, Java, and Python
Cloud Data Platforms & Distributed Systems: Hands-on experience with AWS data platforms, Data Lakes, Databricks, and federated architectures, including integration across multiple enterprise data sources
Data Governance, Modelling & Metadata Management: Strong expertise in large-scale SQL data modelling, enterprise data cataloguing (Alation), data governance, metadata management, and regulatory-aligned data frameworks

Job Responsibility

Provision of guidance and expertise to engineering teams to ensure alignment with best practices and foster a culture of technical excellence
Contribution to strategic planning by aligning technical decisions with business goals, anticipating future technology trends, and providing insights to optimize product roadmaps
Design and implementation of complex, scalable, and maintainable software solutions, considering long-term viability and business objectives
Mentoring and coaching to junior and mid-level engineers to foster professional growth and knowledge sharing, elevating the overall skillset and capabilities of the organization
Collaboration with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions and ensure a cohesive approach to product development
Innovation within the organization by identifying and incorporating new technologies, methodologies, and industry practices into the engineering process

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution

Fulltime

New

Senior Data Engineer

Senior Data Engineer - UKRAINE - REMOTE. We are looking for an experienced Senio...

Location

Ukraine

Salary:

Not provided

Valtech

Expiration Date

Until further notice

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

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

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

New

Senior Data Engineer

We are looking for an experienced Senior Data Engineer to design, build, and opt...

Location

Poland

Salary:

Not provided

Valtech

Expiration Date

Until further notice

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

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

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

New

Senior Data Engineer

The Opportunity: We are currently partnering with several leading technology con...

Location

United Kingdom , United Kingdom

Salary:

100.00 GBP / Day

Myn

Expiration Date

Until further notice

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

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

New

Senior Data Engineer

We are seeking an experienced Data Engineer to help build and scale our modern d...

Location

India , Pune

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

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

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

Senior Data Engineer

*** Senior Data Engineer - 10 Months+ Contract - Hybrid -Vilnius, Lithuania*** R...

Location

Lithuania , Vilnius

Salary:

Not provided

RED Commerce - The Global SAP Solutions Provider

Expiration Date

Until further notice

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

New

Senior Data Engineer

We’re looking for a Senior Data Engineer to help scale and evolve our data platf...

Location

United States

Salary:

150000.00 - 180000.00 USD / Year

Helpcare AI

Expiration Date

Until further notice

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

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

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