Data engineer Work, Jobs in Duddington, Nth (with Salaries)

Data Engineer
Taylor Rose —Peterborough
- Salesforce
- SQL
- Python
Data Engineer
Diligenta —Peterborough
- £38,520 - £48,150 a year
- Full-time
- Azure
- SQL
- Analysis skills
- Employee assistance programme
Quick apply
6d
Data Engineer
Compare the Market —Peterborough
- System design
- SQL
- Python
Quick apply
Data Engineer
Woodland Trust —Grantham
- £39,823.50 a year
- Hybrid work
- Azure
- SQL
- JavaScript
- Annual leave
- Employee assistance programme
11d
Analytics Engineer
Compare the Market —Peterborough
- Hybrid work
- SQL
- Continuous improvement
Quick apply
Contract Data Engineer
AND Digital —Leicester
- Hybrid work
- Azure
- AI
- Communication skills
Quick apply
3d
Power Platform Developer
CDW —Peterborough
- Full-time
- SQL
- AI
- Communication skills
Senior Analytics Engineer
Compare the Market —Peterborough
- Hybrid work
- SQL
- Mentoring
- Communication skills
Quick apply
Lead Informatica Developer
RS Group —Corby
- Hybrid work
- SQL
- Analysis skills
- APIs
Data Analyst (AI and Automation)
RS Group —Corby
- Hybrid work
- Merchandising
- SQL
- Presentation skills
Engineering Manager (Data Engineering)
Compare the Market —Peterborough
- Hybrid work
- Analysis skills
- Continuous improvement
- Organisational skills
Quick apply

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Junior Software Engineer
EMCS —Nottingham
Hybrid (3 days in-office, 2 remote). Beyond that: you break problems down logically, you think in terms of data and systems, and you write code that the next…
£40,000 a year
Quick apply
9d
Embedded Software Engineer
Deep Sea Electronics Ltd —Sutton-In-Ashfield
Participate in sustaining activities for existing products, including defect resolution and targeted feature enhancements. Working to a high-quality standards.
£35,010.43 - £61,900.75 a year
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Data Engineer

Taylor Rose -
Peterborough

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Job details

Qualifications

Jira
Data modelling
Salesforce
Spark
Tableau
SQL
Confluence
Data pipeline
Python

Full job description

This role involves but is not limited to:
Design, build, and maintain scalable, production-grade data pipelines into Databricks.

Implement ingestion, transformation, and optimisation patterns using SQL, Spark, and Python.

Ensure datasets are performant, reliable, and analytics-ready

Lead hands-on data mapping from legacy systems into Databricks with downstream implication with Analytics (Tableau) and strong AI use cases (Mulesoft IDP and Data360/Agentforce)

Support ingestion and harmonisation of data arising from M&A activity.

Analyse acquired datasets and integrate them into the central data platform

Establish and govern testing standards covering functional, regression, integration and UAT testing

Implement data quality checks, validation rules, and monitoring within pipelines.

Support governance standards defined by the Data & Analytics Manager.

Ensure high quality documentation and data governance

Work with internal and external teams, using Agile delivery and Project Management tolls such as Jira/Confluence/Miro

Requirements:
Commercial experience as a Data Engineer in a modern data platform

Strong hands-on experience with Databricks (or equivalent cloud data platforms)

Proven experience building production data pipelines

Experience mapping and migrating data from legacy systems

Solid understanding of data modelling and transformation

Experience supporting analytics tools such as Tableau

Desirable: Experience with Salesforce Data Cloud (Data 360) or CRM data models

Desirable: Exposure to AI-ready data platforms or automation use cases

Desirable: Experience working within a Centre of Excellence or multi-team environment

Success Measures:
Reliability of data pipelines (uptime, successful run rates)

Time taken to onboard new data sources

Reduction in downstream data issues and rework

Adoption of engineered datasets by analytics and AI use cases

Quality and clarity of data documentation and mappings

Company Core Values:
Aspire: Challenge convention, be entrepreneurial with energy for change. Be the best we can be.

Innovate: Creatively evolve our working practices, use our revenue and resources in a virtuous cycle of improving our people, systems and growth.

Integrate: Bring together people and systems into a cohesive force.

Commitment: Work with integrity and invest in long term relationships, creating a strong market position and delivering sustained commercial advantage.

Apply Now

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data engineer jobs in duddington, nth

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