SQL / Data Vault Expert Job at Xcede (Wien)

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
bachelor’s degree in Computer Science, Engineering, Mathematics, or a relevant technical field
minimum of 5+ years of experience in Data Engineering, with at least 3+ years of experience working with Databricks and Spark at scale.

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
design and implement real-time/near-real-time data processing solutions using Spark Structured Streaming and Delta Live Tables (DLT)
implement Unity Catalog for centralized data governance, fine-grained security (row/column-level security), and data lineage
develop and manage complex workflows using Databricks Workflows (Jobs) or external tools (Azure Data Factory, Airflow) to automate pipelines
integrate Databricks pipelines into CI/CD processes using tools like Git, Databricks Repos, and Bundles
work closely with Data Scientists, Analysts, and Architects to deliver optimal technical solutions
provide technical guidance and mentorship to junior developers.

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 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 Analytics Engineer

Location

Japan , Tokyo

Salary:

10000000.00 - 15000000.00 JPY / Year

Randstad

Expiration Date

October 30, 2026

Requirements

Expert-level DBT (Data Build Tool) proficiency for complex transformations
Deep expertise in Data Vault and Dimensional Modeling (Star Schema) methodologies
Advanced SQL and development experience in Databricks (preferred), Snowflake, or BigQuery
Expert-level IaC (Terraform preferred)
Strong background in CI/CD/CO (Continuous Operations) and version control (GitHub/AWS CodeCommit)
Extensive experience managing and scaling data pipeline orchestration tools
Master’s degree in Computer Science or Data Engineering
A successful history of spearheading complex technical initiatives and driving best practices in analytics engineering

Job Responsibility

Architect and implement scalable, automated data transformation workflows using DBT and modern data stack patterns
Lead the development of Data Vault (Silver Layer) core products designed to feed high-performance Dimensional (Gold Layer) analytical models
Build and maintain comprehensive testing and validation frameworks to ensure rigorous data quality and integrity
Utilize Terraform to develop and manage infrastructure, ensuring all components are version-controlled
Design and execute automated pipelines for Continuous Integration, Delivery, and Operations
Establish deployment pipelines that strictly adhere to segregation of duties principles
Coordinate closely with Ops teams to manage seamless transitions through pre-production and production environments
Ensure all transformation architectures are optimized for large-scale data processing and high efficiency

What we offer

健康保険
厚生年金保険
雇用保険
土曜日
日曜日
祝日
賞与

Lead Data Engineer

Lead Data Engineer to design, build, and maintain the integrity of our core data...

Location

United Kingdom , Swindon

Salary:

75000.00 GBP / Year

TalentHawk

Expiration Date

Until further notice

Requirements

Proven experience leading data engineering or BI teams within complex environments
Hands-on expertise in designing and implementing Enterprise Data Warehouses
Track record of building secure data pipelines across multiple source systems
A degree in Computer Science, Data Engineering, or a related field (or equivalent experience)
Relevant certifications (e.g., Azure/AWS Data Engineer, Snowflake) are highly desirable
Strong grasp of Data Vault, Kimball, or equivalent design patterns
Expert-level SQL, ETL/ELT pipeline development, and modern engineering tools
Proficiency with cloud-based services (Azure, AWS, or GCP) and Power BI
Deep understanding of data security, GDPR, and governance frameworks
Exceptional leadership and mentoring capabilities

Job Responsibility

Architecture & Implementation: Own the Data Warehouse lifecycle, ensuring high availability, security, and scalability
Data Integration: Build and maintain robust pipelines to ingest and transform data from diverse systems (Salesforce, NetSuite, and digital platforms)
Team Leadership: Manage and mentor the BI team, providing technical direction and fostering a high-performance culture
Data Governance & Security: Implement validation practices, metadata management, and data lineage to ensure GDPR compliance and data integrity
Stakeholder Collaboration: Act as a bridge between technical teams and business leaders to translate reporting needs into actionable technical solutions
Strategic Input: Evaluate new technologies and provide expert advice on programs requiring integrated data and analytics

Fulltime

Middle Data Engineer

We are seeking a skilled Data Engineer with 3-5 years of experience to join our ...

Location

Ukraine

Salary:

Not provided

N-iX

Expiration Date

Until further notice

Requirements

2+ years of professional experience in data engineering or backend software engineering with a data focus
Strong proficiency in Python for data manipulation and scripting
Expert-level SQL skills for complex querying and performance tuning
Hands-on production experience with modern cloud data platforms, specifically Snowflake and Databricks
Proven experience using dbt in a production environment for transformation layers
Experience building and managing complex DAGs in Apache Airflow
Cloud platform experience: AWS
Working knowledge of Terraform for deploying and managing cloud resources

Job Responsibility

Design, develop, and maintain reliable ETL/ELT pipelines using Python and SQL to ingest data from various sources into our data lake/warehouse
Orchestrate complex data workflows and dependencies using Apache Airflow, ensuring timely data delivery and robust failure handling
Champion the use of dbt (data build tool) for developing, testing, and documenting data transformation logic within the warehouse
Develop clean, highly optimized SQL models for reporting and analytics (data modeling concepts like Star Schema or Data Vault are a plus)
Work hands-on with both Snowflake and Databricks, optimizing compute resources, managing access controls, and ensuring high performance for end-users
Utilize Terraform to provision and manage cloud infrastructure (e.g., S3 buckets, IAM roles, Snowflake warehouses) in an Infrastructure-as-Code paradigm
Implement data quality checks and monitoring within pipelines to ensure the accuracy and integrity of our data
Troubleshoot pipeline failures, identify performance bottlenecks, and implement long-term fixes

What we offer

Flexible working format - remote, office-based or flexible
A competitive salary and good compensation package
Personalized career growth
Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
Active tech communities with regular knowledge sharing
Education reimbursement
Memorable anniversary presents
Corporate events and team buildings
Other location-specific benefits

Azure Data Engineer

We are seeking a highly skilled and experienced Azure Data Engineer to join our ...

Location

Salary:

Not provided

Vidushi Infotech SSP Pvt. Ltd.

Expiration Date

Until further notice

Requirements

5+ years of hands-on experience as a Data Engineer, primarily focused on the Microsoft Azure data stack
Expert-level proficiency in Databricks (Spark SQL/PySpark), Python, and SQL
Strong, practical knowledge of core Azure data services, including Azure Data Lake Storage (Gen2) and Azure Synapse Analytics (or Azure SQL Data Warehouse)
Deep understanding and experience with modern ETL/ELT principles and tools (e.g., Azure Data Factory)
Solid understanding of the capabilities and architecture of Microsoft Fabric
Proven experience with code versioning (Git), unit testing frameworks, and principles of writing production-ready, clean, and well-documented code
Demonstrated ability to identify and implement performance and cost optimization techniques across data storage and processing layers
Excellent analytical and problem-solving skills with a track record of successfully refactoring complex or legacy data infrastructure

Job Responsibility

Design, development, and implementation of robust and scalable ETL/ELT processes using Azure services and Databricks
Act as a subject matter expert for Databricks, leveraging its capabilities for large-scale data processing, advanced analytics, and machine learning workloads
Write, optimize, and maintain high-quality code primarily in Python and SQL for data transformation, cleaning, and aggregation
Utilize a comprehensive suite of Azure services including Azure Data Lake Storage (Gen2), Azure Synapse Analytics, Azure Data Factory, and Azure Key Vault to build and manage end-to-end data solutions
Demonstrate and apply strong working knowledge of Microsoft Fabric to unify data, analytics, and AI workloads, contributing to the modernization of our data platform
Refactor legacy code for improved performance, readability, and maintainability
Write and execute comprehensive unit tests to ensure the reliability and integrity of all data pipelines and code
Implement optimization techniques to significantly improve the performance and reduce the cost of existing and new data solutions, especially within Databricks and Synapse
Apply best practices for code versioning using tools like Git (e.g., GitHub, Azure DevOps) within a structured CI/CD environment
Work closely with data scientists, analysts, and business stakeholders to understand data requirements and translate them into technical specifications

Fulltime

Data Engineer

Seeking a Data Engineer: Rhino, are you there? At WE ARE META, we focus on findi...

Location

Portugal , Porto

Salary:

Not provided

We Are Meta

Expiration Date

Until further notice

Requirements

At least 5 years of experience working as a Data Engineer or Data Quality Engineer
Expert-level proficiency in SQL and SQL-like query languages
Strong expertise in Python, including experience structuring and organizing Python-based projects
Extensive hands-on experience with Azure Data Factory and Databricks
In-depth knowledge and practical experience with ETL processes
Solid experience working with Microsoft Azure Cloud and its related services
Strong understanding of data modeling methodologies, including Kimball, Inmon, and Data Vault
Fluency in English is mandatory
Availability for a remote work model based in Portugal

What we offer

Welcome kit
Opportunities for career progression
Health insurance
Coverflex meal card
Other protocols and special discounts

Principal Data Architect

At Datatonic, we are Google Cloud's premier partner in AI, driving transformatio...

Location

United Kingdom , London

Salary:

Not provided

Datatonic

Expiration Date

Until further notice

Requirements

Proven experience designing and building data warehouse / lakehouse solutions using technologies like BigQuery, Azure Synapse, Snowflake, Databricks
Strong expertise in data modeling and solution architecture, optimizing for performance and scalability
Experience with data platforms with data quality, security, privacy, and governance controls built-in
Ability to take projects from concept to completion, driving creative and effective solutions
Demonstrated problem-solving skills with a strong technical foundation and an innovative approach
Exceptional written and verbal communication skills with great attention to detail, capable of presenting complex concepts clearly to customers
Ability to build and maintain strong relationships with key external stakeholders across different business levels
Hands-on experience with Python, Java, and SQL for data engineering and solution development

Job Responsibility

Design & Deliver Cutting-Edge Data Solutions: Lead the analysis, design, and execution of state-of-the-art, data-driven solutions to meet our client’s business needs, leveraging the best of Google Cloud technologies
Data Architecture & Governance: Serve as an expert in data transformation, storage, retrieval, security, and governance, ensuring scalable, secure, and efficient data solutions
Guide & Mentor Engineers: Provide architectural direction to engineers, ensuring they build robust, high-performance solutions aligned with your target data architecture
Master Data Modeling Techniques: Apply expertise in various data modeling approaches, including 3NF, Data Vault, Star Schema, and One Big Table (OBT). Clearly articulate the benefits and trade-offs of each method and optimize their implementation within columnar databases such as BigQuery
Shape Data Strategy: Collaborate with the client to define and refine data strategy
Develop Fully Integrated Solutions: Work alongside Architecture, Engineering, and Data Science teams to design comprehensive, production-ready solutions that incorporate cloud best practices, scalable and efficient ingestion strategies, feature engineering methodologies, and end-to-end production readiness
Leverage Leading Technologies: Design and implement solutions using key partner technologies, including Google Cloud – BigQuery, Dataflow, Vertex AI, and more
dbt Labs – Modern analytics engineering and transformation
Snowflake – Cloud-native data warehousing
Fivetran – Automated data pipelines for seamless integration

What we offer

25 days plus bank holidays
Private health insurance (Vitality Health)
Smart Health Services
50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym)
WFH allowance
Access to platforms like Udemy
Pension (Auto-enrolment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)
Life Insurance (3 x your base salary)
Income Protection (up to 75% of base salary, up to 2 years)
Cycle to Work Scheme

Fulltime

SQL / Data Vault Expert

Xcede

Location:
Austria , Wien

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 17, 2026

Expiration:
March 28, 2026

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