Data Engineer Job at Fortnum & Mason (London)

New

Data Engineer

We’re on the lookout for a Data Engineer to join us on a 12-month fixed-term con...

Location

United Kingdom , Nottingham

Salary:

45000.00 GBP / Year

Microlise

Expiration Date

July 12, 2026

Requirements

Strong experience building SQL-based pipelines and transformations
Solid understanding of data modelling and structured datasets
Experience working with data quality, governance, or metadata concepts
A collaborative mindset with the ability to translate business needs into data solutions
Someone who thrives in a fast-paced, delivery-focused environment

Job Responsibility

Build and maintain robust data pipelines and transformations
Create curated, analytics-ready datasets aligned to business logic
Translate business requirements into data structures and reusable models
Apply and monitor data quality checks and validation rules
Support data governance, metadata and lineage standards
Collaborate with stakeholders to understand data usage and requirements
Deliver datasets that directly support Analytics & AI teams

What we offer

37.5 hour week with flexible working opportunities
Access to our salary sacrifice EV Car Scheme
Private medical insurance with Vitality Health including rewards
25 days holiday, excluding bank holidays, increasing with service
Invested in employee health and well-being with over 20 mental health first aiders
Employee Assistance Programmes
Free Costco membership, 20% off EE mobile and line rental, and other local discounts
Great staff extras: Easter eggs, yearly BBQ, Christmas gifts and annual staff awards
Free Microlise Cresswell Racing Tickets
Executive Box at Motorpoint Arena Nottingham

Fulltime

New

Data Engineer

We are looking for a Data Engineer to join a growing financial services organiza...

Location

United States , Chicago

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

7-8 years of experience in data engineering or a closely related field
Strong hands-on background in building and supporting ETL or data pipeline solutions
Proven experience working with Snowflake in a production environment
Proficiency in Python for scripting, automation, and data processing tasks
Familiarity with modern cloud platforms
Experience with data ingestion technologies such as Fivetran or similar platforms
Ability to work through imperfect or incomplete data while communicating clearly with technical and business partners

Job Responsibility

Design and support data workflows that collect, refine, and deliver information across a contemporary cloud ecosystem
Develop and enhance scalable data pipelines using Python and automated ingestion platforms such as Fivetran or comparable tools
Model and transform datasets within Snowflake to enable reliable analytics and downstream business intelligence reporting
Collaborate closely with the data architect to expand and improve the organization’s overall data infrastructure
Contribute to reporting readiness by preparing curated datasets for visualization tools including Power BI and Sigma
Monitor pipeline performance and resolve data issues to maintain accuracy, consistency, and dependable delivery
Assess emerging technologies and recommend practical additions to the data stack as business needs evolve
Work effectively in a fast-paced team environment where priorities can shift and new tooling may be introduced regularly

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

New

Data Engineer

We are seeking experienced Data Engineers to join our team. This role is focused...

Location

United States , Tampa

Salary:

60.00 - 70.00 USD / Hour

Apex Systems

Expiration Date

Until further notice

Requirements

Expertise in SQL, T-SQL, stored procedures, and complex transformation logic
Proven experience with ETL processes and data modeling
Proficiency with the Snowflake platform, including an understanding of SnowSQL, tasks, streams, and stored procedures
Experience with Python for data-related tasks
Familiarity with GitLab for code management
Strong analytical background and problem-solving skills
Experience with Jira

Job Responsibility

Develop and maintain ETL processes for Snowflake data warehousing
Write data transformation processes that align with Snowflake fact and dimensions, including slowly-changing dimensions
Rework SSIS packages into Snowflake and support the migration of approximately 300 reports
Utilize Python for tasks such as zipping and encrypting locally stored files
Use GitLab to manage code through development, testing, and production environments
Optimize data warehousing concepts for reporting capabilities within the Snowflake platform
Gather requirements and collaborate with business teams to create documentation
Perform SQL performance tuning and manage complex transformation logic

What we offer

Medical, dental, vision, life, disability, and other insurance plans
Employee stock purchase program (ESPP)
401K program with company match after 12 months of tenure
Health Savings Account (HSA) on the HDHP plan
SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions
Corporate discount savings program and other discounts
On-demand training program
Access to certification prep and library of technical and leadership courses/books/seminars once you have 6+ months of tenure
Certification discounts and other perks to associations that include CompTIA and IIBA
Dedicated customer service team for Consultants

Fulltime

New

Data Engineer

Lamb Weston is pursuing a modernization of its data assets and analytics environ...

Location

United States , Eagle

Salary:

86380.00 - 129570.00 USD / Year

Lamb Weston

Expiration Date

August 09, 2026

Requirements

Minimum BS in Computer Science or related field or combination of education and experience sufficient to perform duties at an experienced level
Minimum of 3 years experience in a technical environment with data warehouse design and implementation
3 years of programming experience in SQL, Java or Python
In depth knowledge of Snowflake
Knowledge of Informatica
1 year+ working as a DBA
Demonstrated ability to work in a team and collaborative environment
Strong communication and interpersonal skills
Love of learning new technologies and having fun
Ability to travel 10% of the time

Job Responsibility

Design, build and maintain data warehouses (existing and from scratch) using Kimball and modern data methodologies
Debug support issues with the legacy environment and support our business users
Design and implement efficient data pipelines (ETLs) to integrate data from a variety of sources into Data Warehouse as well as data model changes that align with warehouse standards and backfill or other warehouse data management processes
Evaluates data design, database architecture, metadata and repositories for performance and effective design
Develop scalable ETL data pipelines with python, SQL, and AWS cloud tools
Optimization of existing SQL queries to improve reliability and performance
Develop and execute testing strategies to ensure high quality warehouse data
Provide documentation, training, and consulting for data warehouse users
Work with cross functional stakeholders to design and architect data warehouse and analytics solutions
Perform requirement and data analysis in order to support warehouse project definition

What we offer

Health Insurance Benefits - Medical, Dental, Vision
Flexible Spending Accounts for Health and Dependent Care, and Health Reimbursement Accounts
Well-being programs including companywide events and a wellness incentive program
Paid Time Off
Financial Wellness – Industry leading 401(k) plan with generous company contributions, Financial Planning Services, Employee Stock purchase program, and Health Savings Accounts, Life and Accident insurance
Family-Friendly Employee events
Employee Assistance Program services – mental health and other concierge type services

Fulltime

New

Data Engineer

Be a part of a place where challenges are measured in billions, qubits and nanos...

Location

United Kingdom , London

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Data Engineering & ETL Development: Strong hands-on experience in ETL development, data transformation, and end-to-end pipeline workflows (ingestion → processing → consumption) including structured dataset creation and analytics outputs
SQL, Data Modelling & Data Warehousing: Solid database and querying skills with expertise in SQL, joins, and large-scale data modelling for warehouse-style analytics and dataset integration
Data Integration & Distributed Systems: Experience integrating multiple enterprise data sources including API/feed handling and working with distributed data environments
Cloud & Data Lake Fundamentals: Exposure to AWS, data lake architectures, and catalogue-based querying environments, supporting scalable data processing
Data Quality, Testing & Debugging: Strong capability in debugging pipelines, resolving data issues, validating datasets, and working with data quality frameworks and controls
Financial Data Domain & Collaboration: Understanding of financial datasets with ability to collaborate across teams and stakeholders to deliver data solutions

Job Responsibility

Delivering a set of enterprise, non-negotiable data strategy outcomes across the end-to-end lifecycle
Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures
Development of processing and analysis algorithms fit for the intended data complexity and volumes
Collaboration with data scientist to build and deploy machine learning models

What we offer

Competitive holiday allowance
Life assurance
Private medical care
Pension contribution

Fulltime

New

Data Engineer

We're looking for a motivated Data Engineer(s) to join our growing team at Hutch...

Location

United Kingdom , Sheffield

Salary:

Not provided

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

experience in a data engineering or similar technical role
Strong verbal and written communication skills
Proficiency in SQL and at least one programming language
Experience building and maintaining ETL/ELT pipelines
Familiarity with cloud data platforms (e.g. AWS, Azure, or GCP)
Understanding of data modelling principles and best practices

Job Responsibility

Design, build, and maintain scalable data pipelines and ETL/ELT processes
Connect and integrate data from multiple business systems and third-party sources
Ensure data quality, consistency, and reliability across all pipelines
Support the development of dashboards, reports, and data products
Write clean, well-documented code and follow engineering best practices
Collaborate with stakeholders to understand data requirements and translate them into technical solutions
Where working as a pair, support and peer-review each other's work to maintain high standards
Maintain clear documentation of data models, pipelines, and processes
Track and report on data quality metrics and pipeline performance
Maintain a professional, collaborative presence across all teams

What we offer

We invest in training, certifications, and development
supportive team
flexibility

Fulltime

New

Data Engineer

Seeking a Data Engineer to build and optimize scalable data pipelines and platfo...

Location

United States , Atlanta, GA

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Data Platforms: Apache Spark (DataFrames, SQL, RDDs, streaming, tuning, Catalyst/Tungsten)
Delta Lake (ACID, MERGE, OPTIMIZE, Z-ORDER, CDC, time travel)
Databricks SQL (queries, views, UDFs)
Delta Live Tables (DLT), Jobs, Workflows
Architecture & Ingestion: Lakehouse (Medallion, partitioning, clustering, data contracts)
Auto Loader / Lakeflow (batch & streaming ingestion, CDC)
Unity Catalog (governance, access control)
Core Data Engineering: Advanced SQL & data modeling (dimensional, Data Vault)
ETL/ELT pipelines
Data quality & monitoring

Job Responsibility

Build ETL/ELT pipelines (batch & streaming)
Design scalable data architectures (Lakehouse, warehouse)
Ensure data quality, governance, and security
Optimize performance, cost, and reliability
Partner with analytics, BI, and engineering teams

What we offer

Competitive compensation and benefits
Free online training
Medical, vision, dental, and life and disability insurance
401(k) plan

Fulltime

New

Data Engineer

We are looking for an experienced Data Engineer to join a long-term contract eng...

Location

United States , Centennial

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

7+ years of experience in data engineering or a closely related technical field
Strong programming ability in Python and solid experience developing enterprise-grade ETL and data integration solutions
Hands-on expertise with Microsoft Fabric and practical experience working with Synapse Analytics and Azure Data Factory
Proven experience using Databricks to build, manage, and optimize large-scale data processing solutions
Strong understanding of cloud-based data engineering principles, including pipeline design, orchestration, and performance tuning
Experience working with large datasets and distributed processing technologies such as Apache Spark or PySpark
Familiarity with modern data platforms and architectures, including lakehouse, data warehouse, or hybrid cloud data environments

Job Responsibility

Design, develop, and enhance scalable data pipelines to support enterprise reporting, analytics, and AI use cases
Transform, cleanse, and organize complex data from multiple sources so it can be used effectively by downstream engineering and machine learning teams
Build and maintain robust data workflows in a cloud-based ecosystem using Microsoft Fabric, Synapse Analytics, Azure Data Factory, and Databricks
Collaborate with data engineers, ML engineers, and other technical stakeholders to create efficient and dependable data architecture
Monitor pipeline performance and resolve issues related to data quality, reliability, and processing efficiency across platforms
Orchestrate data ingestion, movement, and transformation processes for large-volume datasets in a backend-focused engineering environment
Support AI and machine learning initiatives by delivering well-structured datasets optimized for model development and operational use
Contribute to scalable lakehouse or warehouse-oriented data solutions while helping align engineering practices with cloud data best practices

What we offer

medical
vision
dental
life and disability insurance
enrollment in company 401(k) plan

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