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

New

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

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

New

Senior Software Engineer

We are looking for a well-rounded, flexible Data Engineer with an interest in tr...

Location

Argentina , Gran Buenos Aires; Capital Federal; Mar del Plata

Salary:

Not provided

BASIC/DEPT®

Expiration Date

Until further notice

Requirements

3+ years of experience in core programming fundamentals, modern tools (IDEs, CLI, Git/version control), and basic debugging
2+ years of experience in Data Management Tools
2+ years of discovery and assessment of a client’s portfolio, tools, and applications
2+ years of professional software and consulting experience
Experience managing the ingestion of data into a DWH via APIs, ETL tools, batch feeds, etc.
Experience working in cloud environments (AWS or GCP) is a plus
Experience with Unix-based OSes a plus!

Job Responsibility

Ability to realign client expectations when challenges arise
Proactively, and independently able to research knowledge needed to perform tasks
Ability to identify potential technical solutions that apply to an internal/client situation
Enjoy working with peers / new hires to help them understand and apply best practices
Can prioritize multiple tasks and communicate the overall status of a project
Enjoy participating in technical design of systems, schemas, or pipelines and offer sound guidance

What we offer

Premium healthcare through OSDE for the employee and their immediate family members
Mendel prepaid card with a monthly allowance for grocery purchases
Monthly reimbursements for Wi-Fi/electricity expenses
Monthly reimbursements for training/English classes
100% covered “Plan Total” membership at Sportclub
Access to a our benefits platform through Bonda
A flexible vacation policy

Fulltime

Senior Data Warehouse Developer

DefineX is a next-generation consulting house and venture builder, helping finan...

Location

Turkey , Istanbul

Salary:

Not provided

DefineX

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Engineering, MIS, Statistics, or a related field
Min 4 years of hands-on experience in data warehouse projects, preferably in the banking or financial domain
Strong knowledge of SQL, data modeling methodologies (e.g. Inmon/Kimball), and relational data design
Proven experience in ETL flow analysis, design, and optimization
Practical knowledge and project experience with ODI (Oracle Data Integrator) is a significant advantage
Exposure to performance management or financial KPI reporting processes is a strong plus
Familiarity with enterprise data warehouse modernization and cloud migration projects is a plus
Experience working with Oracle or MS SQL Server environments
Strong communication skills, with the ability to translate complex technical solutions into business terms
A proactive, self-driven consultant mindset who enjoys client engagement and solving real-world data problems

Job Responsibility

Lead the analysis, design, and modernization of performance management data marts within the bank’s enterprise DWH
Work closely with business stakeholders to understand KPI structures, target/actual data models, and reporting logic
Redesign and implement SQL structures and ETL flows to ensure scalability, flexibility, and performance
Translate functional business requirements into optimized source-to-target data mappings and transformation logic
Contribute to metadata modeling, data quality frameworks, and governance practices
Provide guidance on best practices in DWH modernization using ODI, Oracle, and other enterprise-grade tools
Collaborate with client teams in agile environments and provide consultancy support throughout the project lifecycle

What we offer

Growth and Development: Be part of a growing global team of professionals with training and support to help you grow
Every DefineXer has a Growth Coach to accelerate their growth through feedback
Independence and Ownership: Blur in creative and challenging business and technology transformation projects
Time Off: 20 vacation days per annum
We love to Give Back: You will get certain hours a year to volunteer and organize office volunteer programs with local NGOs
Health and Wellness: Competitive private health and life insurance coverage

Fulltime

Senior Machine Learning Ops Engineer

As our Senior MLOps Engineer, you will take ownership of our machine learning pl...

Location

Germany , Berlin

Salary:

Not provided

enpal

Expiration Date

Until further notice

Requirements

4+ years of experience in MLOps, ML engineering, or applied machine learning in production environments
Strong ownership mentality—you care about impact, not just implementation
Clear communicator who can explain complex ML concepts to non-technical stakeholders
Solid experience with cloud infrastructure (Azure preferred), container orchestration (Docker/Kubernetes), and IaC (Terraform)
Proven track record with ML lifecycle tooling—model versioning, monitoring, retraining, CI/CD
Familiarity with MLFlow, Airflow, or similar platforms
Strong programming skills in Python and experience with ML frameworks
Hands-on experience with Snowflake, Databricks, or modern data stack tools

Job Responsibility

Act as AI Act Steward within Enpal - ensure compliance with the EU AI Act and future regulations
Build and maintain a central registry of all ML and GenAI use cases and models
Design processes to monitor high-risk models, ensuring explainability, robustness, and fairness
Design and implement core infrastructure, including: A centralized Model Registry
A scalable Feature Store
Automated Monitoring systems for both ML and GenAI models
Orchestration pipelines for retraining and redeployment (e.g. Airflow-based)
Collaborate with Data Engineering to ensure seamless CI/CD for ML workflows
Drive implementation of GenAI-based agents that interface with our DWH (e.g. access distribution, text-to-SQL, semantic search, natural language querying)
Prototype and deploy agentic LLM workflows using Snowflake and other enterprise data assets

What we offer

Competitive salary
Flexible working arrangements
Empowering team culture
Hybrid working model
Modern office in Berlin-Friedrichshain with amenities (ping-pong table, yoga corner, roof terrace, stocked drinks fridges)
Onboarding day to get to know the company, team colleagues and founder
Monthly all-hands meetings
Lunch & Learn sessions
Legendary team spirit and unforgettable team events
Strong feedback culture

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

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Senior Data Engineer (DWH)

Senior Data Engineer

Senior Databricks Data Engineer

Azure Data Engineer- Senior Consultant

Senior Data Engineer

Data Product Manager

Senior Software Engineer

Senior Data Warehouse Developer

Senior Machine Learning Ops Engineer

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

Looking for more opportunities? Search for other job offers that match your skills and interests.

Similar Jobs for Senior Data Engineer (DWH)

Senior Data Engineer

Senior Databricks Data Engineer

Azure Data Engineer- Senior Consultant

Senior Data Engineer

Data Product Manager

Senior Software Engineer

Senior Data Warehouse Developer

Senior Machine Learning Ops Engineer

Category:
IT - Software Development

Contract Type:
Not provided

Job Posted:
February 20, 2026