Senior DWH Engineer Job at Algoteque (Prague)

Senior DWH Engineer

We are looking for a Senior Data / DWH Engineer to design, develop, and maintain...

Location

Czechia , Prague

Salary:

Not provided

Algoteque

Expiration Date

Until further notice

Requirements

Strong experience in Data Engineering and Data Warehouse development
Advanced proficiency in Python and SQL
Experience designing and maintaining ETL/ELT pipelines
Strong understanding of data modeling, OLTP, and OLAP concepts
Hands-on experience with databases such as PostgreSQL, Redshift, Athena, Trino, or SQLite
Experience with DBT, Airflow, and FastAPI
Familiarity with testing and validation approaches (e.g. PyTests, SQL validation)
Experience working in Agile environments using tools like Jira
Strong analytical, troubleshooting, and communication skills

Job Responsibility

Design, develop, and maintain data warehouse solutions, data marts, and data models
Build and optimize ETL/ELT pipelines and automated data workflows
Develop and maintain DBT-based transformation layers and DWH models
Create and maintain source-to-target mappings and technical documentation
Develop and support FastAPI-based data services and integrations
Perform data validation, reconciliation, and post-load quality checks
Optimize SQL queries and PL/pgSQL stored procedures for performance and scalability
Collaborate with technical and business teams throughout the delivery lifecycle
Support Agile delivery processes, testing, deployment, and release readiness activities
Contribute to continuous improvement of data architecture and engineering practices

Fulltime

Senior Data Engineer (DWH)

Are you a motivated Data Engineer (DWH), willing to grow as a professional and w...

Location

Bitola, Burgas, Plovdiv, Skopje, Sofia, Varna

Salary:

Not provided

Scalefocus

Expiration Date

Until further notice

Requirements

Experience in designing scalable data warehousing solutions
Experience in designing and implementing efficient ETL processes and data pipelines
Experience and knowledge in data migration techniques and processes
Proven ability to collaborate with technical and business teams and communicate effectively across channels
Excellent knowledge and experience in SQL - developing stored procedures with T-SQL, database performance optimisation and working with large datasets
Understanding of the database and analytics technologies in the industry, including Relational databases
Data integration from multiple sources - batch data processing, streaming, integrations of APIs
Deep understanding of data warehousing and data architecture concepts
Experience with version control systems (i.e. GitHub)

What we offer

Flexible benefits system
Generous referral bonuses and awards
Multitude of training, certification, and leadership programs
Mental health benefits and workshops
Frequent teambuilding activities, events and gatherings
Opportunity to grow in a multinational environment by working with international teams and clients

Fulltime

Senior Data / Data Warehouse (DWH) Engineer

We are looking for a Senior Data / Data Warehouse Engineer to design and deliver...

Location

Czechia , Prague

Salary:

70000.00 - 80000.00 CZK / Year

Algoteque

Expiration Date

Until further notice

Requirements

Strong experience in data engineering and data warehouse development
Hands-on experience with ETL/ELT pipeline design and implementation
Proficiency in SQL and experience with PL/pgSQL stored procedures
Experience with DBT for data modeling and transformation
Experience building APIs or data access layers using FastAPI
Strong understanding of data modeling concepts for OLTP and OLAP systems
Experience implementing data quality checks, validation, and reconciliation processes
Familiarity with Agile methodologies and tools such as Jira
Strong communication skills and ability to collaborate with cross-functional and distributed teams

Job Responsibility

Own end-to-end data engineering and DWH delivery, from requirements and design to development, validation, and deployment
Design and maintain data models, data marts, and table structures for OLTP and OLAP reporting
Develop and maintain ETL/ELT pipelines and DBT-based transformation layers
Build automated data pipelines and FastAPI-based data access layers for application integration
Implement data validation, reconciliation, and quality checks using SQL
Optimize and maintain PL/pgSQL stored procedures for data processing
Collaborate with cross-functional and distributed teams to ensure timely and high-quality delivery
Work in an Agile environment using Jira and support demos or user training when needed

Fulltime

Azure Data Engineer- Senior Consultant

Location

Salary:

Not provided

Lingaro

Expiration Date

Until further notice

Requirements

A Bachelor's or master's degree in computer science, Information Systems, or a related field is typically required. Additional certifications in cloud are advantageous
Minimum of 9+ years of experience in data engineering or a related field
Strong technical skills in data engineering, including proficiency in programming languages such as Python, SQL, Pyspark
Familiarity with Azure cloud platform viz. Azure Databricks, Data Factory, Data Lake etc., and experience in implementing data solutions in a cloud environment
Expertise in working with various data tools and technologies, such as ETL frameworks, data pipelines, and data warehousing solutions
In-depth knowledge of data management principles and best practices, including data governance, data quality, and data integration
Excellent problem-solving and analytical skills, with the ability to identify and resolve complex data engineering issues
Knowledge of data security and privacy regulations, and the ability to ensure compliance within data engineering projects
Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams, stakeholders, and senior management
Continuous learning mindset, staying updated with the latest advancements and trends in data engineering and related technologies

Job Responsibility

Provide technical expertise and direction in data engineering, guiding the team in selecting appropriate tools, technologies, and methodologies
Stay updated with the latest advancements in data engineering and ensure the team follows best practices and industry standards
Collaborate with stakeholders to understand project requirements, define scope, and create project plans
Support project managers to ensure that projects are executed effectively, meeting timelines, budgets, and quality standards
Monitor progress, identify risks, and implement mitigation strategies
Oversee the design and architecture of data solutions, collaborating with data architects and other stakeholders
Ensure data solutions are scalable, efficient, and aligned with business requirements
Provide guidance in areas such as data modeling, database design, and data integration
Align coding standards, conduct code reviews to ensure proper code quality level
Identify and introduce quality assurance processes for data pipelines and workflows

What we offer

Stable employment
100% remote
Flexibility regarding working hours
Comprehensive online onboarding program with a “Buddy” from day 1
Cooperation with top-tier engineers and experts
Unlimited access to the Udemy learning platform from day 1
Certificate training programs
Upskilling support
Grow as we grow as a company
A diverse, inclusive, and values-driven community

Fulltime

Senior Data Engineer

RemoteStar is looking to hire a Remote Senior Data Engineer (ETL Data Modeling) ...

Location

India , Bengaluru

Salary:

Not provided

Remotestar

Expiration Date

Until further notice

Requirements

Must have total 5+ yrs. of IT experience and 3+ years' experience in data Integration, ETL/ETL development, and database design or Data Warehouse design
Broad expertise and experience with distributed systems, streaming systems, and data engineering tools, such as Kubernetes, Kafka, Airflow, Dagster, etc.
Experience in data transformation, ETL/ELT tool and technologies such as AWS Glue, DBTetc for transforming structured/semi structured and unstructured datasets
Experience in ingesting and integrating data from APIs/JDBC/CDC sources
Deep knowledge of Python, SQL, relational/ non-relational database design, and master data strategies
Experience defining, architecting, and rolling out data products, including ownership of data products through their entire lifecycle
Deep understanding of Star and Snowflake dimensional modeling
Experience with relational databases, including SQL queries, database definition, and schema design
Experience with data warehouses, distributed data platforms, and data lakes
Strong proficiency in SQL and at least one programming language (e.g., Python,Scala, JS)

Job Responsibility

Implementing ETL/ELT pipelines within and outside of a data warehouse using Python, Pyspark and Snowflakes Snow SQL
Support Redshift DWH to Snowflake Migration
Design, implement, and support data warehouse/data lake infrastructure using AWS big data stack, Python, Redshift, Snowflake, Glue/lake formation, EMR/Spark/Scala etc.
Work with data analysts to scale value-creating capabilities, including data integrations and transformations, model features, and statistical and machine learning models
Work with Product Managers, Finance, Service Engineering Teams and Sales Teams on a day-to-day basis to support their new analytics requirements
Implement data quality and data governance measures and execute data profiling and data validation procedures
Implement and uphold data governance practices to maintain data quality, integrity, and security throughout the data lifecycle
Leverage open-source technologies to build robust and cost-effective data solutions
Develop and maintain streaming pipelines using technologies like Apache Kafka etc.

What we offer

Dynamic working environment in an extremely fast-growing company
Work in an international environment
Work in a pleasant environment with very little hierarchy
Intellectually challenging, play a massive role in client’s success and scalability
Flexible working hours

Fulltime

Senior Data Engineer (Contractor)

As a Senior Data Engineer, you’ll design, build, and operate scalable, reliable ...

Location

Poland , Warsaw

Salary:

Not provided

myPOS

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
6+ years of experience as a Data Engineer, building and maintaining production-grade pipelines and datasets
Strong Python and SQL skills with a solid understanding of data structures, performance, and optimization strategies
Hands-on experience with orchestration (like Airflow, Dagster, Databricks Workflows) and distributed processing in a cloud environment
Experience with analytical data modeling (star and snowflake schemas), DWH, ETL/ELT patterns, and dimensional concepts
Experience building reliable incremental data ingestion pipelines from DBs and APIs.
Familiarity with at least one major cloud provider (GCP, AWS, Azure) and deploying data solutions in the cloud
Familiarity with CI/CD for data pipelines, IaC (Terraform), and/or DataOps practices
Strong troubleshooting mindset: ability to debug issues across data, infra, pipelines, and deployments
Collaborative mindset and clear communication across engineering, analytics, and business stakeholders

Job Responsibility

Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations
Develop and evolve scalable data architecture to meet business and performance requirements
Partner with analysts and data scientists to deliver curated, analysis-ready datasets and enable self-service analytics
Implement best practices for data quality, testing, monitoring, lineage, and reliability
Optimize workflows for performance, cost, and scalability (e.g., tuning Spark jobs, query optimization, partitioning strategies)
Ensure secure data handling and compliance with relevant data protection standards and internal policies
Contribute to documentation, standards, and continuous improvement of the data platform and engineering processes
Ensure secure, compliant handling of data and models, including access controls, auditability, and governance practices
Build and maintain MLOps automation: CI/CD for ML, environment management, artifact handling, versioning of data/models/code

What we offer

Vibrant international team operating in hi-tech environment
Excellent compensation package
myPOS Academy for upskilling and training
Unlimited access to courses on LinkedIn Learning
Refer a friend bonus as we know that working with friends is fun
Teambuilding, social activities and networks on a multi-national level

Fulltime

Senior Data Engineer (Contractor)

As a Senior Data Engineer, you’ll design, build, and operate scalable, reliable ...

Location

Romania , Bucharest

Salary:

Not provided

myPOS

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
6+ years of experience as a Data Engineer, building and maintaining production-grade pipelines and datasets
Strong Python and SQL skills with a solid understanding of data structures, performance, and optimization strategies
Hands-on experience with orchestration (like Airflow, Dagster, Databricks Workflows) and distributed processing in a cloud environment
Experience with analytical data modeling (star and snowflake schemas), DWH, ETL/ELT patterns, and dimensional concepts
Experience building reliable incremental data ingestion pipelines from DBs and APIs
Familiarity with at least one major cloud provider (GCP, AWS, Azure) and deploying data solutions in the cloud
Familiarity with CI/CD for data pipelines, IaC (Terraform), and/or DataOps practices
Strong troubleshooting mindset: ability to debug issues across data, infra, pipelines, and deployments
Collaborative mindset and clear communication across engineering, analytics, and business stakeholders

Job Responsibility

Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations
Develop and evolve scalable data architecture to meet business and performance requirements
Partner with analysts and data scientists to deliver curated, analysis-ready datasets and enable self-service analytics
Implement best practices for data quality, testing, monitoring, lineage, and reliability
Optimize workflows for performance, cost, and scalability (e.g., tuning Spark jobs, query optimization, partitioning strategies)
Ensure secure data handling and compliance with relevant data protection standards and internal policies
Contribute to documentation, standards, and continuous improvement of the data platform and engineering processes
Ensure secure, compliant handling of data and models, including access controls, auditability, and governance practices
Build and maintain MLOps automation: CI/CD for ML, environment management, artifact handling, versioning of data/models/code

What we offer

Vibrant international team operating in hi-tech environment
Excellent compensation package
myPOS Academy for upskilling and training
Unlimited access to courses on LinkedIn Learning
Refer a friend bonus as we know that working with friends is fun
Teambuilding, social activities and networks on a multi-national level

Fulltime

Senior Data Engineer

As a Senior Data Engineer, you’ll design, build, and operate scalable, reliable ...

Location

Bulgaria , Sofia; Varna

Salary:

Not provided

myPOS

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience)
6+ years of experience as a Data Engineer, building and maintaining production-grade pipelines and datasets
Strong Python and SQL skills with a solid understanding of data structures, performance, and optimization strategies
Hands-on experience with orchestration (like Airflow, Dagster, Databricks Workflows) and distributed processing in a cloud environment
Experience with analytical data modeling (star and snowflake schemas), DWH, ETL/ELT patterns, and dimensional concepts
Experience building reliable incremental data ingestion pipelines from DBs and APIs
Familiarity with at least one major cloud provider (GCP, AWS, Azure) and deploying data solutions in the cloud
Familiarity with CI/CD for data pipelines, IaC (Terraform), and/or DataOps practices
Strong troubleshooting mindset: ability to debug issues across data, infra, pipelines, and deployments
Collaborative mindset and clear communication across engineering, analytics, and business stakeholders

Job Responsibility

Build and maintain data pipelines for ingestion, transformation, and export across multiple sources and destinations
Develop and evolve scalable data architecture to meet business and performance requirements
Partner with analysts and data scientists to deliver curated, analysis-ready datasets and enable self-service analytics
Implement best practices for data quality, testing, monitoring, lineage, and reliability
Optimize workflows for performance, cost, and scalability (e.g., tuning Spark jobs, query optimization, partitioning strategies)
Ensure secure data handling and compliance with relevant data protection standards and internal policies
Contribute to documentation, standards, and continuous improvement of the data platform and engineering processes
Ensure secure, compliant handling of data and models, including access controls, auditability, and governance practices
Build and maintain MLOps automation: CI/CD for ML, environment management, artifact handling, versioning of data/models/code

What we offer

Vibrant international team operating in hi-tech environment
Annual salary reviews, promotions and performance bonuses
myPOS Academy for upskilling and training
Unlimited access to courses on LinkedIn Learning
Annual individual training and development budget
Refer a friend bonus
Teambuilding, social activities and networks on a multi-national level
Excellent compensation package
25 days annual paid leave (+1 day per year up to 30)
Full “Luxury” package health insurance including dental care and optical glasses

Fulltime

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Senior DWH Engineer

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