Senior Azure Data Engineer Job at Cyclad Sp. z o.o. (Warszawa)

Senior Data Engineer

The mission of the business intelligence team is to create a data-driven culture...

Location

India , Hyderabad

Salary:

Not provided

Randstad

Expiration Date

February 28, 2026

Requirements

Master’s degree in Computer Science / Information Technology or related field, highly preferred
Extensive knowledge of BI concepts and related technologies that help drive sustainable technical solutions
Extensive Experience with data lakes, ETL and data warehouses
Advanced experience of building data pipelines
Passion for building quality BI software
Project Management and/or process improvement experience highly preferred
Polyglot coder and expert level in multiple languages including, Python, R, Java, SQL, relational databases, ERP, DOMO or other data visualization tools i.e. Tableau
Advanced and proven experience with Google cloud platform (GCP) is preferred. But experience with Microsoft Azure / Amazon will be considered
Any exposure to Kafka, Spark, and Scala will be an added advantage
Should demonstrate a strong understanding of OOPS concepts and methodologies

Job Responsibility

Architect and build complex data pipelines using advanced cloud data technologies
Lead efforts to optimize data pipelines for performance, scalability, and cost-efficiency
Define industry best practices for building data pipelines
Ensure data security, compliance, and governance standards are met
Partner with leadership team to define and implement agile and DevOps methodologies
Serve as subject matter expert and define data architecture and infrastructure requirements
Partner with business analysts to plan project execution including appropriate product and technical specifications, direction, resources, and establishing realistic completion times
Understand data technology trends and identify opportunities to implement new technologies and provide forward-thinking recommendations
Proactively partner with internal stakeholders to bridge gaps, provide historical references, and design the appropriate processes
Design and implement a robust data observability process

Fulltime

Senior Data Engineer

As a Senior Data Engineer on our Core Engineering Data Team, you will design and...

Location

United States , Boston

Salary:

111800.00 - 164000.00 USD / Year

SimpliSafe

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field or equivalent practical experience
4+ years of experience in software engineering, data engineering, or a related field, with at least 2 years focused on data operations or data infrastructure
Strong knowledge of AWS or other public cloud platforms (e.g., Azure, GCP)
Strong SQL knowledge and experience optimizing for data warehousing technologies like AWS Athena
Strong knowledge of Python for use in data transformation
Hands-on experience with ETL/ELT, schema design, and datalake technologies
Hands-on experience with data orchestration tools like Dagster, Airflow, or Prefect
Experience with CI/CD pipelines, Docker, Kubernetes, and infrastructure-as-code tools (e.g., Terraform, CloudFormation)
Familiarity with various data and table formats (JSON, Avro, Parquet, Iceberg)
Love of data and a passion for building reliable data products

Job Responsibility

Collaborate with analysts, engineers, product managers, and stakeholders to design and implement solutions for Product and Engineering data workflows
Identify areas for improvement and contribute to centralized data platform
Manage data pipeline, orchestration, storage, and analytics infrastructure for Product and Engineering
Monitor performance and reliability of data pipelines, implementing solutions for scalability and efficiency
Optimize table structures to support query and usage patterns
Partner with producers of data across SimpliSafe to develop an understanding of data creation and meaning
Support data discovery, catalog, and analytics tooling
Implement and maintain data security measures and ensure compliance with data governance policies
Design and implement testing strategies and data quality validation to ensure the accuracy, reliability, and integrity of data pipelines
Contribute to the formation of our new team, assisting with the development of team norms, practices, and charter

What we offer

A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive
A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families
Free SimpliSafe system and professional monitoring for your home
Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change
Participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits

Fulltime

Senior Data Engineer

We are looking for a Data Engineer to join our team and support with designing, ...

Location

Salary:

Not provided

Foundever

Expiration Date

Until further notice

Requirements

Minimum of 7 years plus experience in data engineering
Track record of deploying and maintaining complex data systems at an enterprise level within regulated environments
Expertise in implementing robust data security measures, access controls, and monitoring systems
Proficiency in data modeling and database management
Strong programming skills in Python and SQL
Knowledge of big data technologies like Hadoop, Spark, and NoSQL databases
Deep experience with ETL processes and data pipeline development
Strong understanding of data warehousing concepts and best practices
Experience with cloud platforms such as AWS and Azure
Excellent problem-solving skills and attention to detail

Job Responsibility

Design and optimize complex data storage solutions, including data warehouses and data lakes
Develop, automate, and maintain data pipelines for efficient and scalable ETL processes
Ensure data quality and integrity through data validation, cleansing, and error handling
Collaborate with data analysts, machine learning engineers, and software engineers to deliver relevant datasets or data APIs for downstream applications
Implement data security measures and access controls to protect sensitive information
Monitor data infrastructure for performance and reliability, addressing issues promptly
Stay abreast of industry trends and emerging technologies in data engineering
Document data pipelines, processes, and best practices for knowledge sharing
Lead data governance and compliance efforts to meet regulatory requirements
Collaborate with cross-functional teams to drive data-driven decision-making within the organization

What we offer

Impactful work
Professional growth
Competitive compensation
Collaborative environment
Attractive salary and benefits package
Continuous learning and development opportunities
A supportive team culture with opportunities for occasional travel for training and industry events

Senior Data Engineer

The Data Engineer will build scalable pipelines and data models, implement ETL w...

Location

United States , Fort Bragg

Salary:

Not provided

Barbaricum

Expiration Date

Until further notice

Requirements

Active DoD TS/SCI clearance (required or pending verification)
Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience) OR CSSLP / CISSP-ISSAP
Strong programming skills in Python, Java, or Scala
Strong SQL skills
familiarity with analytics languages/tools such as R
Experience with data processing frameworks (e.g., Apache Spark, Hadoop) and orchestration tools (e.g., Airflow)
Familiarity with cloud-based data services (e.g., AWS Redshift, Google BigQuery, Azure Data Factory)
Experience with data modeling, database design, and data architecture concepts
Strong analytical and problem-solving skills with attention to detail
Strong written and verbal communication skills

Job Responsibility

Build and maintain scalable, reliable data pipelines to collect, process, and store data from multiple sources
Design and implement ETL processes to support analytics, reporting, and operational needs
Develop and maintain data models, schemas, and standards to support enterprise data usage
Collaborate with data scientists, analysts, and stakeholders to understand requirements and deliver solutions
Analyze large datasets to identify trends, patterns, and actionable insights
Present findings and recommendations through dashboards, reports, and visualizations
Optimize database and pipeline performance for scalability and reliability across large datasets
Monitor and troubleshoot pipeline issues to minimize downtime and improve system resilience
Implement data quality checks, validation routines, and integrity controls
Implement security measures to protect data and systems from unauthorized access

Senior ML Data Engineer

As a Senior Data Engineer, you will play a pivotal role in our AI/ML workstream,...

Location

Salary:

Not provided

Awin Global

Expiration Date

Until further notice

Requirements

Bachelor or Master’s degree in data science, data engineering, Computer Science with focus on math and statistics / Master’s degree is preferred
At least 5 years experience as AI/ML data engineer undertaking above task and accountabilities
Strong foundation in computer science principes and statistical methods
Strong experience with cloud technology (AWS or Azure)
Strong experience with creation of data ingestion pipeline and ET process
Strong knowledge of big data tool such as Spark, Databricks and Python
Strong understanding of common machine learning techniques and frameworks (e.g. mlflow)
Strong knowledge of Natural language processing (NPL) concepts
Strong knowledge of scrum practices and agile mindset

Job Responsibility

Design and maintain scalable data pipelines and storage systems for both agentic and traditional ML workloads
Productionise LLM- and agent-based workflows, ensuring reliability, observability, and performance
Build and maintain feature stores, vector/embedding stores, and core data assets for ML
Develop and manage end-to-end traditional ML pipelines: data prep, training, validation, deployment, and monitoring
Implement data quality checks, drift detection, and automated retraining processes
Optimise cost, latency, and performance across all AI/ML infrastructure
Collaborate with data scientists and engineers to deliver production-ready ML and AI systems
Ensure AI/ML systems meet governance, security, and compliance requirements
Mentor teams and drive innovation across both agentic and classical ML engineering practices
Participate in team meetings and contribute to project planning and strategy discussions

What we offer

Flexi-Week and Work-Life Balance: We prioritise your mental health and well-being, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves as well as volunteer days
Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately
Pension: Awin offers access to an additional pension insurance to all employees in Germany
Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
Development: We’ve built our extensive training suite Awin Academy to cover a wide range of skills that nurture you professionally and personally, with trainings conveniently packaged together to support your overall development
Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program

Senior ML Data Engineer

As a Senior Data Engineer, you will play a pivotal role in our AI/ML workstream,...

Location

Poland , Warsaw

Salary:

Not provided

Awin Global

Expiration Date

Until further notice

Requirements

Bachelor or Master’s degree in data science, data engineering, Computer Science with focus on math and statistics / Master’s degree is preferred
At least 5 years experience as AI/ML data engineer undertaking above task and accountabilities
Strong foundation in computer science principes and statistical methods
Strong experience with cloud technology (AWS or Azure)
Strong experience with creation of data ingestion pipeline and ET process
Strong knowledge of big data tool such as Spark, Databricks and Python
Strong understanding of common machine learning techniques and frameworks (e.g. mlflow)
Strong knowledge of Natural language processing (NPL) concepts
Strong knowledge of scrum practices and agile mindset
Strong Analytical and Problem-Solving Skills with attention to data quality and accuracy

Job Responsibility

Design and maintain scalable data pipelines and storage systems for both agentic and traditional ML workloads
Productionise LLM- and agent-based workflows, ensuring reliability, observability, and performance
Build and maintain feature stores, vector/embedding stores, and core data assets for ML
Develop and manage end-to-end traditional ML pipelines: data prep, training, validation, deployment, and monitoring
Implement data quality checks, drift detection, and automated retraining processes
Optimise cost, latency, and performance across all AI/ML infrastructure
Collaborate with data scientists and engineers to deliver production-ready ML and AI systems
Ensure AI/ML systems meet governance, security, and compliance requirements
Mentor teams and drive innovation across both agentic and classical ML engineering practices
Participate in team meetings and contribute to project planning and strategy discussions

What we offer

Flexi-Week and Work-Life Balance: We prioritise your mental health and well-being, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves as well as volunteer days
Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately
Pension: Awin offers access to an additional pension insurance to all employees in Germany
Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
Development: We’ve built our extensive training suite Awin Academy to cover a wide range of skills that nurture you professionally and personally, with trainings conveniently packaged together to support your overall development
Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program

Senior Data Engineer

At ANS, the Senior Data Engineer plays a key role in delivering robust, scalable...

Location

United Kingdom , Manchester

Salary:

Not provided

ANS Group

Expiration Date

Until further notice

Requirements

Experience in building and optimising pipelines in Azure Data Factory, Synapse, or Fabric
Strong knowledge of Python and SQL
Experience in using metadata frameworks in data engineering
Experience in best practice data engineering principles including CI/CD via Azure DevOps or Github
Understanding of Azure networking and security in relation to the data platform
Experience of data governance and regulation, including GDPR, principle of least privilege, classification etc.
Experience of lakehouse architecture, data warehousing principles, and data modelling
Familiarity with Microsoft Purview in a data platform context
Base knowledge of Azure foundry

Job Responsibility

Build and optimise data pipelines, notebooks, and data flows in Microsoft Fabric and Synapse Analytics, connecting to a variety of on-premises and cloud based data sources
Support Data Architects and Cloud Engineers by implementing solutions based on provided designs and offering feedback where needed
Collaborate across disciplines to ensure high-quality delivery of data solutions, including working with presales, managed services, and customer teams
Mentor Data engineers and support their development through guidance and task distribution
Ensure best practice adherence in engineering processes, including CI/CD via Azure DevOps and secure data handling (e.g. Key vault, private endpoints)
Contribute to Agile delivery by participating in standups, user story creation, and sprint planning
Document implemented solutions clearly and accurately for internal and customer use
Troubleshoot and resolve issues across subscriptions and environments
Work closely with the Project Manager (where applicable) to align on delivery timelines, report progress, and manage risks, while also acting as a key point of contact for customer SMEs and engineers to support collaboration and clarify technical requirements
Engage in continuous learning through certifications (e.g. DP-600 and/or DP700, AI-900, AI102, etc.) and development days

What we offer

25 days’ holiday, plus you can buy up to 5 more days
Birthday off
An extra celebration day
5 days’ additional holiday in the year you get married
5 volunteer days
Private health insurance
Pension contribution match and 4 x life assurance
Flexible working and work from anywhere for up to 30 days per year (some exceptions)
Maternity: 16 weeks’ full pay, Paternity: 3 weeks’ full pay, Adoption: 16 weeks’ full pay
Company social events

Fulltime

Senior Data Engineer

Adtalem is a data driven organization. The Data Engineering team builds data sol...

Location

United States , Lisle

Salary:

84835.61 - 149076.17 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Bachelor's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field.
Master's Degree Computer Science, Computer Engineering, Software Engineering, or other related technical field.
Two (2) plus years experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows, BQML, Vertex AI.
Six (6) plus years experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics.
Hands-on experience working with real-time, unstructured, and synthetic data.
Experience in Real Time Data ingestion using GCP PubSub, Kafka, Spark or similar.
Expert knowledge on Python programming and SQL.
Experience with cloud platforms (AWS, GCP, Azure) and their data services
Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed.
Familiarity with synthetic data generation and unstructured data processing

Job Responsibility

Architect, develop, and optimize scalable data pipelines handling real-time, unstructured, and synthetic datasets
Collaborate with cross-functional teams, including data scientists, analysts, and product owners, to deliver innovative data solutions that drive business growth.
Design, develop, deploy and support high performance data pipelines both inbound and outbound.
Model data platform by applying the business logic and building objects in the semantic layer of the data platform.
Leverage streaming technologies and cloud platforms to enable real-time data processing and analytics
Optimize data pipelines for performance, scalability, and reliability.
Implement CI/CD pipelines to ensure continuous deployment and delivery of our data products.
Ensure quality of critical data elements, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root.
Document the design and support strategy of the data pipelines
Capture, store and socialize data lineage and operational metadata

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
Eligible to participate in an annual incentive program

Fulltime

Senior Azure Data Engineer

Cyclad Sp. z o.o.

Location:
Poland , Warszawa

Category:
IT - Software Development

Contract Type:
B2B

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 14, 2026

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