Senior Data Engineer (DWH) Job at Scalefocus (Bitola, Burgas, Plovdiv, Skopje, Sofia, Varna)

Senior Data Engineer

We are looking for a highly skilled Senior Data Engineer to lead the design and ...

Location

United Kingdom

Salary:

45000.00 - 60000.00 GBP / Year

Activate Group Limited

Expiration Date

Until further notice

Requirements

Proven experience as a Senior Data Engineer, BI/Data Warehouse Engineer, or similar
Strong hands-on expertise with Microsoft Fabric and related services
End-to-end DWH development experience, from ingestion to modelling and consumption
Strong background in data modelling, including star schema, dimensional modelling and semantic modelling
Experience with orchestration, monitoring and optimisation of data pipelines
Proficiency in SQL and strong understanding of database principles
Ability to design scalable data architectures aligned to business needs

Job Responsibility

Lead the design, architecture and build of a new enterprise data warehouse on Microsoft Fabric
Develop robust data pipelines, orchestration processes and monitoring frameworks using Fabric components (Data Factory, Data Engineering, Lakehouse)
Create scalable and high-quality data models to support analytics, Power BI reporting and self-service data consumption
Establish and enforce data governance, documentation and best practices across the data ecosystem
Collaborate with cross-functional teams to understand data needs and translate them into technical solutions
Provide technical leadership, mentoring and guidance to junior team members where required

What we offer

33 days holiday (including bank holidays)
Personal health cash plan – claim back the cost of things like dentist and optical check ups
Enhanced maternity / paternity / adoption / shared parental pay
Life assurance: three times basic salary
Free breakfasts and fruit
Birthday surprise for everybody

Fulltime

Senior Databricks Data Engineer

To develop, implement, and optimize complex Data Warehouse (DWH) and Data Lakeho...

Location

Romania , Bucharest

Salary:

Not provided

Inetum

Expiration Date

Until further notice

Requirements

Proven, expert-level experience with the entire Databricks ecosystem (Workspace, Cluster Management, Notebooks, Databricks SQL)
In-depth knowledge of Spark architecture (RDD, DataFrames, Spark SQL) and advanced optimization techniques
Expertise in implementing and managing Delta Lake (ACID properties, Time Travel, Merge, Optimize, Vacuum)
Advanced/expert-level proficiency in Python (with PySpark) and/or Scala (with Spark)
Advanced/expert-level skills in SQL and Data Modeling (Dimensional, 3NF, Data Vault)
Solid experience with a major Cloud platform (AWS, Azure, or GCP), especially with storage services (S3, ADLS Gen2, GCS) and networking.

Job Responsibility

Design and implement robust, scalable, and high-performance ETL/ELT data pipelines using PySpark/Scala and Databricks SQL on the Databricks platform
Expertise in implementing and optimizing the Medallion architecture (Bronze, Silver, Gold) using Delta Lake to ensure data quality, consistency, and historical tracking
Efficient implementation of the Lakehouse architecture on Databricks, combining best practices from DWH and Data Lake
Optimize Databricks clusters, Spark operations, and Delta tables to reduce latency and computational costs
Design and implement real-time/near-real-time data processing solutions using Spark Structured Streaming and Delta Live Tables
Implement and manage Unity Catalog for centralized data governance, data security and data lineage
Define and implement data quality standards and rules to maintain data integrity
Develop and manage complex workflows using Databricks Workflows or external tools to automate pipelines
Integrate Databricks pipelines into CI/CD processes
Work closely with Data Scientists, Analysts, and Architects to understand business requirements and deliver optimal technical solutions

What we offer

Full access to foreign language learning platform
Personalized access to tech learning platforms
Tailored workshops and trainings to sustain your growth
Medical insurance
Meal tickets
Monthly budget to allocate on flexible benefit platform
Access to 7 Card services
Wellbeing activities and gatherings.

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

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

Senior Data Engineer

We are looking for experienced engineers that are willing to solve complex techn...

Location

Salary:

Not provided

Itransition

Expiration Date

Until further notice

Requirements

5+ years of Date Engineer experience
Understanding of the DWH and ETL development principles and methodologies
Experience with Cloud DWH solutions
Hands-on experience with Snowflake
Understanding of the analytical and transactional processing
Advanced experience with RDBMS (MSSQL preferred) or NoSQL databases
Advanced in SQL querying (T-SQL preferred)
Experience with at least one VCS (Git, SVN, etc.)
English skills sufficient for spoken communication (Intermediate level and above)

What we offer

Projects for such clients as PayPal, Wargaming, Xerox, Philips, adidas and Toyota
Competitive compensation that depends on your qualification and skills
Career development system with clear skill qualifications
Flexible working hours aligned to your schedule
Options to work remotely
Corporate medical insurance covering services of private and public medical centers
English courses online
Corporate parties and events for employees and their children
Internal conferences, workshops and meetups for learning and experience sharing
Gym membership compensation, corporate sport competitions (cybersport included)

Data Product Manager

Spendesk is seeking a Data Product Manager to join our data organization. You wi...

Location

Spain , Barcelona

Salary:

Not provided

Spendesk

Expiration Date

Until further notice

Requirements

4–7 years of experience in product management, data product ownership, analytics product management, ideally from a former full-stack data senior IC role
A track record of owning internal data/analytics products (BI tools, semantic layers, data platforms, internal tools) from discovery through adoption
Experience working closely with Data/Analytics Engineers and business stakeholders (Product, Finance, RevOps)
Experience rolling out or migrating a BI or analytics platform is a strong plus
Solid understanding of modern data platforms and BI: data warehouses (ideally Snowflake), dbt, and self‑service analytics tools
Strong SQL skills for exploration and validation
Good understanding of data modeling concepts (dimensional modeling, semantic layers, shared vs domain models)
Familiarity with data quality, lineage, documentation, and governance
Ability to discuss trade‑offs on performance, complexity, and maintainability with engineers
Strong discovery skills: talking to users, identifying real problems, and defining success metrics

Job Responsibility

Define and drive the strategy for our analytics platform (including the migration from Looker/Metabase to a new, AI-native BI tool) and our core semantic data layer
Work hand‑in‑hand with the Datapoints squad (Data Engineering, Analytics Engineering, Software Engineering, Team Lead/EM) to turn this strategy into well‑scoped initiatives and shipped outcomes
Act as the “coach” for data product practices across Spendesk, helping product squads and business units (FP&A, RevOps, etc.) become autonomous and data‑savvy
Ensure that our data products solve real problems, are discoverable and well‑documented, and are actually used in day‑to‑day decisions
Co‑lead (with the squad’s Team Lead & A Engs) the vision and roadmap for Spendesk’s internal data products: analytics platform, semantic layer, shared business models, and self‑service experience
Align stakeholders (Head of Data, Product, FP&A, RevOps, etc.) on a clear 6–12 month plan
Turn strategic objectives into concrete initiatives with clear problem statements, success metrics, and business impact
Co‑lead (with the EM & AE) the migration from Looker and Metabase to our new BI tool
Own company‑wide adoption of the new BI tool
Help recruit and onboard 2 Analytics Engineers

What we offer

Flexible on-site and remote policy
Alan health insurance (fully covered by Spendesk)
Meal vouchers through Edenred (€6 per working day)
100% reimbursement on public transportation subscription
Access to Moka.care for emotional and mental health wellbeing
28 days of holidays
Latest Apple equipment
Great office snacks to fuel your day

Senior Data Solution Developer

At Bombardier, we design, build and maintain the world’s peak-performing aircraf...

Location

Canada , Dorval

Salary:

Not provided

Bombardier

Expiration Date

Until further notice

Requirements

You hold a bachelor’s degree in computer science, Statistics, Informatics, Information Systems or another quantitative field
You have 8+ years of experience in a Data Engineer / Data Solution Developer role
You have knowledge of Agile / SCRUM project delivery, DevOps and CI/CD practices related to data solutions
You have advanced knowledge of SQL, query authoring/optimization and relational databases
You have experience optimizing ‘big data’ pipelines (storage, file formats, partitioning, Spark, Python, streaming)
You are efficient at performing root cause analysis to address data pipeline issues and applying long-term fixes
You have experience designing and building data transformation, data structures, metadata frameworks, semantic layer and automated workload management
You have experience implementing data protection measures, understanding data privacy and collaborating with Cybersecurity teams
You have good knowledge of Azure data services (Azure Data Factory, Azure Data Lake Storage, Event Hub, Databricks, Lakehouse Medallion Architecture) and PowerBI
You have good knowledge of object-oriented and functional programming languages: Python, Java, C++, Scala, etc.

Job Responsibility

Administer the enterprise data platforms (DWH, Data Lake, BI)
Create and maintain performance- and cost-optimized data pipelines, with high reliability, to meet business needs
Define and operate the infrastructure required for optimal extraction, loading and transformation (ELT) of data from a wide variety of data sources using SQL, API and Spark technologies
Design and implement improvements to life-cycle management processes (DevOps) enabling continuous integration, testing and deployment (CI/CT/CD) of data systems
Integrate data from various sources (including external data sources and IoT) and manage the big data as a key enterprise asset
Create and maintain backend data solutions for data analysts and data scientists. Assist them in unlocking insights from enterprise data
Identify, design, and implement internal processes and frameworks to improve the data platform (e.g. eliminating manual processes, optimizing data delivery, evolving data infrastructure capabilities, etc.)
Work with stakeholders including product, data and architecture SMEs to assist with data-related technical issues and support their data infrastructure needs
Ensure compliance with data architecture, data governance principles and security requirements
Implement and maintain the data platform’s semantic layer

What we offer

Insurance plans (Dental, medical, life insurance, disability, and more)
Competitive base salary
Retirement savings plan
Employee Assistance Program
Tele Health Program

Fulltime

Senior Data Engineer (DWH)

Scalefocus

Location:

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 20, 2026

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