ETL Data Modeller Job at Barclays (Glasgow)

Senior Software Developer - ETL

We are seeking a highly experienced Senior Software Developer - ETL to design, d...

Location

Canada , Toronto

Salary:

Not provided

Randstad

Expiration Date

February 22, 2026

Requirements

Experience with the Microsoft suite of technology, including: Azure Data Factory, Azure SQL Database, Azure Data Lake, and Power BI
Experience with developing data extraction, transformation, and load programs (daily and initial load) functionality on a wide range of data repositories (structured and semi-structured files, relational and multi-dimensional data stores)
Experience with developing, implementing, and maintaining schedule/dependency logic for Extract Transform Load (ETL) scripts
Experience with data integration, data cleansing, and data analytics
Experience with data modeling and design principles for data marts and data warehouses
Experience in database management and administration
Experience in constructing complex SQL queries and performance tuning
Experience with Git and knowledge of source control strategies
Experience creating technical documentation including ETL source-to-target mappings, data model diagrams, architecture artifacts, detailed design documents, etc.

Job Responsibility

ETL Design and Implementation: Designing, implementing, and continuously expanding data pipelines by performing extraction, transformation, and loading activities, with a focus on daily and initial load programs
Technology Stack: Utilizing the Microsoft suite of technology, including Azure Data Factory, Azure SQL Database, Azure Data Lake, and Power BI
Coding & Quality: Translating technical systems specifications into working, tested applications by writing high-quality code. This includes writing and/or generating code, compiling data-driven programs, and conducting unit tests
Data Expertise: Applying expertise in data integration, data cleansing, and data analytics. Designing and implementing data modeling and design principles for data marts and data warehouses
Database Optimization: Constructing complex SQL queries and performing performance tuning. Possessing experience in database management and administration
SDLC & Documentation: Collaborating with IT Professionals throughout the SDLC, ensuring applications remain scalable while complying with standards. Creating comprehensive technical documentation including ETL source-to-target mappings, data model diagrams, and detailed design documents
Troubleshooting & Support: Resolving and troubleshooting technical problems within ETL pipelines, notifying end-users of issues, and proposing adequate solutions.

What we offer

Long-Term Engagement: Secure a 12-month contract with the potential for extension
Onsite Collaboration: Work fully onsite in Toronto, fostering strong team dynamics and collaboration.

Data Engineer

As a Data Engineer at Rearc, you'll contribute to the technical excellence of ou...

Location

India , Bengaluru

Salary:

Not provided

Rearc

Expiration Date

Until further notice

Requirements

2+ years of experience in data engineering, data architecture, or related fields
Solid track record of contributing to complex data engineering projects
Hands-on experience with ETL processes, data warehousing, and data modelling tools
Good understanding of data integration tools and best practices
Familiarity with cloud-based data services and technologies (e.g., AWS Redshift, Azure Synapse Analytics, Google BigQuery)
Strong analytical skills
Proficiency in implementing and optimizing data pipelines using modern tools and frameworks
Strong communication and interpersonal skills

Job Responsibility

Collaborate with Colleagues to understand customers' data requirements and challenges
Apply DataOps Principles to create scalable and efficient data pipelines and architectures
Support Data Engineering Projects
Promote Knowledge Sharing through technical blogs and articles

Data Modeller/Architect

You’ll help design, implement and maintain conceptual, logical and physical data...

Location

United Kingdom , Glasgow

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Solid experience in data modelling or data architecture, ideally within financial services or large corporates
Proficiency with data modelling tools (e.g., Erwin, ER/Studio, PowerDesigner)
Excellent knowledge of conceptual, logical, and physical modelling techniques
Experience with database systems (relational: Oracle, SQL Server, PostgreSQL, MySQL
columnar: Redshift, Snowflake
NoSQL: MongoDB, Cassandra)
Advanced SQL skills (DDL, DML, performance tuning) and scripting experience (PL/SQL, T-SQL, Python or Shell)
Knowledge of data warehousing concepts (Inmon/Kimball) and ETL tools (e.g., Informatica)
Cloud platform experience, ideally AWS (S3, Redshift, Glue) and Data Lake implementation

Job Responsibility

Analysis and documentation of business requirements to translate them into data models aligned with organisational goals
Development and maintenance of data dictionaries and glossaries to define data elements and their usage
Analysis and monitoring of data usage patterns to identify opportunities for data optimisation and improvement, in partnership with the Data Base Administrator
Strategic architecture definition and product selection
Production of logical designs in relevant subject area (technical, data, operational), showing for example: processes, objects, data flows, inputs, stored data and outputs. Identifying common components
Implementation of architectures and Identification, ownership and resolution of design related issues
Definition and documentation of data architectures standards, principles and strategies

Fulltime

Data Architect

We are seeking an experienced Data Architect with deep technical expertise and a...

Location

United States

Salary:

Not provided

InData Labs

Expiration Date

Until further notice

Requirements

7+ years of experience in data architecture, data engineering, or database design
Proven experience designing large-scale data systems in cloud environments (AWS, Azure, or GCP)
Strong expertise in relational and non-relational databases (e.g., PostgreSQL, SQL Server, MongoDB, Snowflake, Redshift, BigQuery)
Proficiency in data modeling tools (e.g., ER/Studio, ERwin, dbt, Lucidchart)
Hands-on experience with ETL frameworks, data pipelines, and orchestration tools (e.g., Apache Airflow, Fivetran, Talend)
Solid understanding of data governance, metadata management, and data lineage tools
Experience working with modern data stack technologies (e.g., Databricks, Kafka, Spark, dbt)
Strong SQL and at least one programming language (Python, Scala, or Java)
Excellent communication and leadership skills
Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field

Job Responsibility

Design and implement enterprise-grade data architectures to support analytics, reporting, and operational needs
Define data standards, data flows, and governance frameworks across systems and departments
Collaborate with data engineers, analysts, and business stakeholders to translate business requirements into technical data solutions
Develop and maintain logical and physical data models using modern modeling tools
Oversee data integration strategies including ETL/ELT pipelines, APIs, and real-time data ingestion
Evaluate, recommend, and implement new data technologies and tools aligned with industry best practices
Ensure data quality, security, and compliance across all platforms
Act as a technical mentor to engineering and analytics teams, promoting architectural consistency and knowledge sharing
Partner with DevOps and infrastructure teams to ensure optimal deployment, scalability, and performance of data systems
Lead initiatives in data warehousing, master data management, and data lakes (on-premise and cloud)

What we offer

100% remote with flexible hours
Work from anywhere in the world
Be part of a senior, talented, and supportive team
Flat structure – your input is always welcome
Clients in the US and Europe, projects with real impact
Room to grow and experiment with cutting-edge AI solutions

Data Engineer II

You will be part of a world-class Data Engineering team, where you will influenc...

Location

India , Bengaluru

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s / Masters degree (or equivalent work experience) in a STEM field
2+ Years of Experience in Data Engineering or related fields
Expertise in Python or other modern programming language development experience
Knowledge of advanced level capabilities in SQL and relational databases experience
Solid working knowledge of ETL (ELT), Data modeling, DataQuality, and Data Visualization/Dashboarding
Experience working with product analytics

Job Responsibility

influence product teams
inform Data Science and Analytics Platform teams
partner closely with data consumers and producers to ensure quality and usefulness of data assets
Defining metrics
Instrumenting logging
Acquiring/ingesting data
Architecting & modeling data
Transforming data
Ensuring data quality, governance, and enablement
Alerting, visualization, and reporting

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Data Engineer II

You will be part of a world-class Data Engineering team, where you will influenc...

Location

India , Bengaluru

Salary:

Not provided

Atlassian

Expiration Date

Until further notice

Requirements

Bachelor’s / Masters degree (or equivalent work experience) in a STEM field
2+ Years of Experience in Data Engineering or related fields
Expertise in Python or other modern programming language development experience
Knowledge of advanced level capabilities in SQL and relational databases experience
Solid working knowledge of ETL (ELT), Data modeling, DataQuality, and Data Visualization/Dashboarding
Experience working with product analytics

Job Responsibility

influence product teams
inform Data Science and Analytics Platform teams
partner closely with data consumers and producers to ensure quality and usefulness of data assets
Defining metrics
Instrumenting logging
Acquiring/ingesting data
Architecting & modeling data
Transforming data
Ensuring data quality, governance, and enablement
Alerting, visualization, and reporting

What we offer

health coverage
paid volunteer days
wellness resources

Fulltime

Data Engineer

The Data Engineer is accountable for developing high quality data products to su...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

First Class Degree in Engineering/Technology/MCA
5 to 8 years’ experience implementing data-intensive solutions using agile methodologies
Experience of relational databases and using SQL for data querying, transformation and manipulation
Experience of modelling data for analytical consumers
Ability to automate and streamline the build, test and deployment of data pipelines
Experience in cloud native technologies and patterns
A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training
Excellent communication and problem-solving skills
ETL: Hands on experience of building data pipelines. Proficiency in two or more data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica
Big Data: Experience of ‘big data’ platforms such as Hadoop, Hive or Snowflake for data storage and processing

Job Responsibility

Developing and supporting scalable, extensible, and highly available data solutions
Deliver on critical business priorities while ensuring alignment with the wider architectural vision
Identify and help address potential risks in the data supply chain
Follow and contribute to technical standards
Design and develop analytical data models

Fulltime

Data Engineer

The Data Engineer is accountable for developing high quality data products to su...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

First Class Degree in Engineering/Technology/MCA
3 to 4 years’ experience implementing data-intensive solutions using agile methodologies
Experience of relational databases and using SQL for data querying, transformation and manipulation
Experience of modelling data for analytical consumers
Ability to automate and streamline the build, test and deployment of data pipelines
Experience in cloud native technologies and patterns
A passion for learning new technologies, and a desire for personal growth, through self-study, formal classes, or on-the-job training
Excellent communication and problem-solving skills
ETL: Hands on experience of building data pipelines. Proficiency in at least one of the data integration platforms such as Ab Initio, Apache Spark, Talend and Informatica
Big Data: Exposure to ‘big data’ platforms such as Hadoop, Hive or Snowflake for data storage and processing

Job Responsibility

Developing and supporting scalable, extensible, and highly available data solutions
Deliver on critical business priorities while ensuring alignment with the wider architectural vision
Identify and help address potential risks in the data supply chain
Follow and contribute to technical standards
Design and develop analytical data models

Fulltime

ETL Data Modeller

Barclays

Location:
United Kingdom , Glasgow

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
January 11, 2026

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