Data Engineering Lead at Harnham
London, North Yorkshire - England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

10 Jan, 27

Salary

85000.0

Posted On

12 Oct, 26

Experience

1 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Industry

Information Technology & Services;Software Development & Publishing

Description

Full job description

Lead Data Engineer – DatabricksUp to £75,000 | Permanent | Huddersfield | 4 days onsiteWant to build the data platform rather than just maintain one?This is an opportunity for a hands-on Lead Data Engineer to play a key role in a major data transformation – moving a complex, multi-site UK organisation away from fragmented legacy data and manual processes towards a modern Databricks environment.There’s plenty to build, plenty to improve and a genuine opportunity to influence how Data Engineering is done.We’re looking for someone who loves Data Engineering, can lead from the front technically and wants to take ownership of a small engineering team while remaining close to the code.The roleAs Lead Data Engineer, you’ll take day-to-day ownership of engineering delivery across the Databricks platform, working closely with the Head of Data Engineering and leading a small team of Data Engineers.You’ll be joining at an important point in the organisation’s transformation. Databricks is becoming the strategic data platform, with a significant programme underway to create better engineered pipelines, trusted data models and reusable data products.This is not a hands-off management role.You’ll remain technically involved – designing solutions, building pipelines and solving engineering problems – while providing the direction, standards and leadership the wider team needs.Over time, you’ll become a key internal technical authority for Databricks, working closely with Data Architecture and senior data leadership to shape how the platform evolves and what gets built next.What you’ll be doing

  • Leading Data Engineering delivery across Databricks
  • Remaining hands-on with engineering, development and problem-solving
  • Designing and building scalable, reliable data pipelines
  • Helping establish effective bronze, silver and gold data layers
  • Developing curated, trusted and reusable datasets
  • Improving data quality, structure and provenance
  • Supporting the development of enterprise data models and single sources of truth
  • Leading, mentoring and developing a small team of Data Engineers
  • Prioritising and allocating engineering work across multiple projects
  • Establishing strong engineering standards and ways of working
  • Working closely with Data Architecture, Analytics and wider technology teams
  • Acting as a technical sounding board to the Head of Data Engineering
  • Helping reduce manual data processes through better engineering and automation
  • Building internal Databricks knowledge and capability
  • Deputising for senior Data Engineering leadership when required

The environmentThis is a large, complex and highly distributed organisation with a substantial data estate spanning multiple business areas, locations, systems and data sources.There is a significant roadmap of transformation ahead, with opportunities to improve how operational, customer, commercial and product data is brought together and used across the organisation.A major focus is reducing fragmented and manual ways of working and creating properly engineered, trusted data that can support everything from day-to-day decision-making through to advanced analytics, automation and future AI initiatives.You’ll be joining while that environment is being built – not once all the interesting decisions have already been made.What we’re looking forWe’re looking for a Data Engineer first and a leader second – someone who has progressed into technical leadership but still genuinely enjoys building.You’ll ideally bring:

  • Strong commercial Data Engineering experience
  • Hands-on Databricks expertise
  • Excellent SQL skills
  • Experience designing and developing production data pipelines
  • Strong understanding of modern data-platform architecture
  • Experience working within complex enterprise data environments
  • Previous team leadership or line-management experience
  • The credibility to lead and develop experienced Data Engineers
  • Strong stakeholder-management and communication skills
  • The confidence to challenge, prioritise and make decisions
  • A proactive, pragmatic and delivery-focused approach

Python would be useful but isn’t essential.More important is a genuine passion for Data Engineering – making data flow better, removing unnecessary manual processes and building platforms that other teams can confidently use.Why this one?Because you’re not walking into a finished environment and being asked to maintain it.You’ll join while the organisation is actively transforming its data estate, giving you the opportunity to shape the Databricks platform, influence engineering standards, develop the team and see the impact of what you build across a large UK organisation.If you’re a hands-on Lead Data Engineer looking for more ownership, influence and the opportunity to help build something properly, we’d like to hear from you. Huddersfield – 4 days onsite

Up to £75,000

Permanent

SkillsFull job description

HEAD OF DATA ENGINEERING

£90,000

LONDON

This is a fantastic opportunity to join a globally recognised transportation and logistics organisation as it undergoes a major cloud and data transformation. You'll take ownership of the data engineering function, shape the long-term strategy, and build a high-performing team that will have a direct impact on business-wide decision making.

THE COMPANY

Our client is a leading international logistics and transportation business operating at global scale. Backed by a major multinational group, they are investing heavily in modernising their technology and data capabilities, transitioning from legacy systems to a cloud-native data platform. This role offers the chance to lead that transformation while building a sustainable in-house engineering capability.

THE ROLE

  • Lead, mentor and develop a team of 8-10 Data Engineers across onshore and offshore locations
  • Define and deliver the data engineering strategy, roadmap and best practices
  • Drive the migration from legacy on-premise technology to a modern AWS and Snowflake data platform
  • Build internal capability and reduce reliance on external contractors
  • Partner closely with Architecture, Analytics and senior business stakeholders
  • Oversee platform reliability, support processes and engineering standards
  • Provide technical leadership across data platform and engineering initiatives

YOUR SKILLS AND EXPERIENCE

  • Strong background in Data Engineering with previous people leadership experience
  • Experience managing engineering teams of roughly 8-10 individuals
  • Strong knowledge of Python, SQL, ETL/ELT pipelines and data warehousing concepts
  • Experience working with cloud platforms, ideally AWS and Snowflake
  • Good understanding of data modelling and modern data architecture principles
  • Experience delivering cloud transformation or platform modernisation programmes
  • Strong stakeholder management and communication skills
  • Comfortable leading teams through organisational change and growth

SALARY AND BENEFITS

  • Bonus of up to 40%
  • 8% employer pension contribution
  • 26 days holiday plus bank holidays
  • Option to purchase up to 5 additional holiday days
  • Life assurance and personal accident cover
  • Free on-site gym access
  • Opportunity to work overseas for up to one month per year
  • Hybrid working model (3 days per week in office)

HOW TO APPLY

Please register your interest by sending your CV to Harry Lack through the 'Apply' link.

Skills

Your profile matches 0 out of 4 skills for this role. Tap to add more skills to your profile.





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Responsibilities

Full job description

Lead Data Engineer – DatabricksUp to £75,000 | Permanent | Huddersfield | 4 days onsiteWant to build the data platform rather than just maintain one?This is an opportunity for a hands-on Lead Data Engineer to play a key role in a major data transformation – moving a complex, multi-site UK organisation away from fragmented legacy data and manual processes towards a modern Databricks environment.There’s plenty to build, plenty to improve and a genuine opportunity to influence how Data Engineering is done.We’re looking for someone who loves Data Engineering, can lead from the front technically and wants to take ownership of a small engineering team while remaining close to the code.The roleAs Lead Data Engineer, you’ll take day-to-day ownership of engineering delivery across the Databricks platform, working closely with the Head of Data Engineering and leading a small team of Data Engineers.You’ll be joining at an important point in the organisation’s transformation. Databricks is becoming the strategic data platform, with a significant programme underway to create better engineered pipelines, trusted data models and reusable data products.This is not a hands-off management role.You’ll remain technically involved – designing solutions, building pipelines and solving engineering problems – while providing the direction, standards and leadership the wider team needs.Over time, you’ll become a key internal technical authority for Databricks, working closely with Data Architecture and senior data leadership to shape how the platform evolves and what gets built next.What you’ll be doing

  • Leading Data Engineering delivery across Databricks
  • Remaining hands-on with engineering, development and problem-solving
  • Designing and building scalable, reliable data pipelines
  • Helping establish effective bronze, silver and gold data layers
  • Developing curated, trusted and reusable datasets
  • Improving data quality, structure and provenance
  • Supporting the development of enterprise data models and single sources of truth
  • Leading, mentoring and developing a small team of Data Engineers
  • Prioritising and allocating engineering work across multiple projects
  • Establishing strong engineering standards and ways of working
  • Working closely with Data Architecture, Analytics and wider technology teams
  • Acting as a technical sounding board to the Head of Data Engineering
  • Helping reduce manual data processes through better engineering and automation
  • Building internal Databricks knowledge and capability
  • Deputising for senior Data Engineering leadership when required

The environmentThis is a large, complex and highly distributed organisation with a substantial data estate spanning multiple business areas, locations, systems and data sources.There is a significant roadmap of transformation ahead, with opportunities to improve how operational, customer, commercial and product data is brought together and used across the organisation.A major focus is reducing fragmented and manual ways of working and creating properly engineered, trusted data that can support everything from day-to-day decision-making through to advanced analytics, automation and future AI initiatives.You’ll be joining while that environment is being built – not once all the interesting decisions have already been made.What we’re looking forWe’re looking for a Data Engineer first and a leader second – someone who has progressed into technical leadership but still genuinely enjoys building.You’ll ideally bring:

  • Strong commercial Data Engineering experience
  • Hands-on Databricks expertise
  • Excellent SQL skills
  • Experience designing and developing production data pipelines
  • Strong understanding of modern data-platform architecture
  • Experience working within complex enterprise data environments
  • Previous team leadership or line-management experience
  • The credibility to lead and develop experienced Data Engineers
  • Strong stakeholder-management and communication skills
  • The confidence to challenge, prioritise and make decisions
  • A proactive, pragmatic and delivery-focused approach

Python would be useful but isn’t essential.More important is a genuine passion for Data Engineering – making data flow better, removing unnecessary manual processes and building platforms that other teams can confidently use.Why this one?Because you’re not walking into a finished environment and being asked to maintain it.You’ll join while the organisation is actively transforming its data estate, giving you the opportunity to shape the Databricks platform, influence engineering standards, develop the team and see the impact of what you build across a large UK organisation.If you’re a hands-on Lead Data Engineer looking for more ownership, influence and the opportunity to help build something properly, we’d like to hear from you. Huddersfield – 4 days onsite

Up to £75,000

Permanent

SkillsFull job description

HEAD OF DATA ENGINEERING

£90,000

LONDON

This is a fantastic opportunity to join a globally recognised transportation and logistics organisation as it undergoes a major cloud and data transformation. You'll take ownership of the data engineering function, shape the long-term strategy, and build a high-performing team that will have a direct impact on business-wide decision making.

THE COMPANY

Our client is a leading international logistics and transportation business operating at global scale. Backed by a major multinational group, they are investing heavily in modernising their technology and data capabilities, transitioning from legacy systems to a cloud-native data platform. This role offers the chance to lead that transformation while building a sustainable in-house engineering capability.

THE ROLE

  • Lead, mentor and develop a team of 8-10 Data Engineers across onshore and offshore locations
  • Define and deliver the data engineering strategy, roadmap and best practices
  • Drive the migration from legacy on-premise technology to a modern AWS and Snowflake data platform
  • Build internal capability and reduce reliance on external contractors
  • Partner closely with Architecture, Analytics and senior business stakeholders
  • Oversee platform reliability, support processes and engineering standards
  • Provide technical leadership across data platform and engineering initiatives

YOUR SKILLS AND EXPERIENCE

  • Strong background in Data Engineering with previous people leadership experience
  • Experience managing engineering teams of roughly 8-10 individuals
  • Strong knowledge of Python, SQL, ETL/ELT pipelines and data warehousing concepts
  • Experience working with cloud platforms, ideally AWS and Snowflake
  • Good understanding of data modelling and modern data architecture principles
  • Experience delivering cloud transformation or platform modernisation programmes
  • Strong stakeholder management and communication skills
  • Comfortable leading teams through organisational change and growth

SALARY AND BENEFITS

  • Bonus of up to 40%
  • 8% employer pension contribution
  • 26 days holiday plus bank holidays
  • Option to purchase up to 5 additional holiday days
  • Life assurance and personal accident cover
  • Free on-site gym access
  • Opportunity to work overseas for up to one month per year
  • Hybrid working model (3 days per week in office)

HOW TO APPLY

Please register your interest by sending your CV to Harry Lack through the 'Apply' link.

Skills

Your profile matches 0 out of 4 skills for this role. Tap to add more skills to your profile.





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