Data Engineer | Metropark, New Jersey
Hybrid | $88,000–$105,000 Base + Bonus
We are seeking an early-career Data Engineer to join a growing technology team focused on developing and supporting modern data pipelines and cloud-based data infrastructure.
This opportunity is well suited to a Data Engineer, Data Analyst, or recent graduate with strong foundational skills in SQL and Python who is looking to build hands-on experience with Databricks, Apache Spark, PySpark, and modern lakehouse architecture.
Key Responsibilities
- Support the development and maintenance of data pipelines across Bronze, Silver, and Gold medallion architecture layers
- Ingest and organize raw data within the Bronze layer
- Support data cleansing, deduplication, validation, and schema enforcement within the Silver layer
- Develop SQL and PySpark transformations based on defined business and technical requirements
- Assist with data quality, testing, monitoring, and troubleshooting of pipeline jobs
- Work with structured and semi-structured data within cloud-based data environments
- Collaborate closely with senior data engineers to learn and apply modern data engineering practices
- Contribute to scalable and reliable data solutions using version-controlled development practices
Required Qualifications
- 0–2 years of experience in Data Engineering, Analytics, Computer Science, or a related field; internships and academic projects are considered
- Foundational knowledge of SQL, including joins, filtering, aggregations, and querying relational data
- Experience with Python and an understanding of basic object-oriented programming concepts
- Understanding of core data concepts, including tables, schemas, relational databases, and data structures
- Familiarity with Git or demonstrated ability to quickly learn version-control practices
- Strong interest in developing expertise across Databricks, Spark, and cloud technologies
- Strong analytical, problem-solving, and communication skills
Preferred Qualifications
- Exposure to Databricks, Apache Spark, or PySpark
- Understanding of Delta Lake or medallion architecture
- Experience with Azure, AWS, or GCP
- Databricks certification
- Exposure to BI, reporting, or data visualization tools
- Academic or project experience building data pipelines or working with data transformation workflows
Compensation & Work Arrangement
Salary: $88,000–$105,000 base salary + discretionary bonus
Work Arrangement: Hybrid
This is an excellent opportunity for an early-career professional looking to develop a strong foundation in data engineering, cloud data platforms, Databricks, Spark, and lakehouse architecture while working alongside experienced engineers.
Interested in learning more? Apply directly or reach out to j.valderrama@lawrenceharvey.com for additional information.
Data Engineer | Hybrid | Metropark, New Jersey
Senior SAP SuccessFactors Employee Central Consultant
Contract | Czech-speaking | Remote across Europe | Occasional onsite in Czech Republic
Location: Remote – candidates can be based anywhere in Europe
Onsite: Occasional travel to Czech Republic
Contract: Contract position
We are currently looking for a Senior SAP SuccessFactors Employee Central Consultant to support an ongoing HR technology programme.
The role requires a strong functional SuccessFactors professional with deep experience across Employee Central and a broader understanding of the SuccessFactors ecosystem. You will work closely with business stakeholders and wider project teams to support the design, configuration and ongoing development of the solution.
Key Responsibilities
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Provide senior functional expertise across SAP SuccessFactors Employee Central.
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Support the design and delivery of SuccessFactors solutions aligned to business requirements.
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Translate business requirements into effective functional solutions.
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Work with stakeholders to understand HR processes and identify opportunities for improvement.
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Support configuration, testing, troubleshooting and deployment activities.
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Collaborate with other SuccessFactors functional and technical teams.
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Provide guidance around the interaction between Employee Central and the wider SuccessFactors landscape.
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Support workshops, documentation and knowledge transfer where required.
Requirements
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5+ years of hands-on SAP SuccessFactors experience.
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Strong functional expertise in Employee Central.
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Good understanding of the wider SuccessFactors platform and its functional landscape.
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Experience working on SuccessFactors implementations, transformations or major change programmes.
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Strong understanding of HR processes and their relationship with SuccessFactors.
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Strong communication and stakeholder management skills.
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Fluent Czech language skills are essential.
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English proficiency suitable for an international project environment.
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Willingness to attend occasional onsite meetings in the Czech Republic.
Senior SAP SuccessFactors Project Manager
Contract | Czech-speaking | Remote across Europe | Occasional onsite in Czech Republic
Location: Remote – candidates can be based anywhere in Europe
Onsite: Occasional travel to Czech Republic
We are currently looking for a Senior SAP SuccessFactors Project Manager to support a large-scale HR technology programme.
The successful candidate will have a strong understanding of the SAP SuccessFactors landscape, with the ability to operate across functional teams, stakeholders and technology workstreams. This is a senior role requiring someone who can confidently manage delivery while understanding the underlying SuccessFactors environment.
Key Responsibilities
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Lead and coordinate SuccessFactors-related projects and workstreams from planning through to delivery.
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Manage project scope, timelines, dependencies, risks and key deliverables.
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Work closely with functional and technical SuccessFactors teams.
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Coordinate stakeholders across HR, IT, business and implementation teams.
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Support project governance, reporting and decision-making.
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Identify and manage risks, issues and dependencies across the programme.
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Ensure alignment between business requirements and SuccessFactors capabilities.
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Contribute to programme planning, testing, deployment and transition activities.
Requirements
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5+ years of experience working with SAP SuccessFactors.
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Strong understanding of the wider SuccessFactors platform and HR technology landscape.
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Proven experience managing SuccessFactors projects or significant workstreams.
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Strong stakeholder and communication skills.
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Comfortable working across both business and technology environments.
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Fluent Czech language skills are essential.
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English proficiency suitable for an international project environment.
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Willingness to attend occasional onsite meetings in the Czech Republic.
Data Engineer (Databricks) – Marketing Analytics
A global leader in the mobility and vehicle rental sector is looking for a Data Engineer with strong Databricks expertise to design, build and maintain the data pipelines powering its marketing analytics and decision-making, as part of a large-scale, greenfield marketing data transformation programme.
The successful applicant will build and optimise data pipelines pulling from a wide range of sources including Salesforce and other systems into a unified Databricks lakehouse, creating a single source of truth across brand, paid media, social and CRM data. You'll work closely with marketing, analytics and data stakeholders to develop feature sets and data models that support dashboards, attribution and marketing mix modelling across the platform.
Location: Uxbridge, three days per week in the office
Salary: Up to £72,000 + 10% Bonus + Benefits
Requirements
- + 3 years of experience working with Databricks, building and maintaining scalable data pipelines and lakehouse architecture
- Proficiency integrating data from multiple marketing and enterprise platforms (e.g. GA4, Salesforce, CRM/martech tools)
- Advanced SQL and strong Python skills, with the ability to build features and data models that support analytics and data science use cases
- Experience with (or strong interest in) attribution modelling, MMM or marketing analytics data structures
This is a high-impact, greenfield role at the heart of a major marketing data transformation. If you're ready to build a marketing data platform from the ground up and bridge data engineering with analytics and data science, please apply via the link below.
Senior Platform Engineer – GCP, DevOps, Platform Engineering
After the launch of its flagship product, a fast-growing scale-up is expanding its engineering capability and is looking for an Senior Platform Engineer to work alongside the Engineering Manager to help develop their cloud platform and enable rapid, secure product delivery at scale.
This is a key position role within a cloud-native environment, accountable for the reliability, scalability, and security of the Google Cloud Platform estate. You’ll be working in a multi-disciplinary platform function across CI/CD, networking, security, AIOps, and observability, building a robust self-service platform that empowers engineering squads and supports an ambitious technology-led transformation.
You’ll help shape platform strategy, champion automation for a hugely exciting scale-up, playing an integral role in the development of future products.
Location: Hybrid with two days per week in the office in Bradford and Leeds
Salary: £85,000 to £95,000 + 15% Bonus + Benefits
To be considered:
- Over 3 years of hands-on experience with Google Cloud Platform.
- Strong expertise in CI/CD design and build using GitHub, Terraform or similar.
- Experience supporting microservices / API-driven architectures.
- Comfortable working in fast-paced, product-led organisations with multiple stakeholders.
This is an excellent opportunity for an experienced Platform Engineering leader who enjoys building scalable cloud foundations, driving automation and engineering standards, and enabling teams to deliver securely and efficiently.
AI Engineer
A global leader in professional services is expanding its AI Centre of Excellence as part of continued investment in its Generative AI capability. They are hiring an Agentic AI Architect to shape and deliver transformative AI and Generative AI strategies for some of the world's most ambitious clients, covering everything from research to deployment.
This is an opportunity to work at the forefront of enterprise AI, leading the design, development and secure deployment of advanced AI pipelines, from requirement gathering, data acquisition and model development through to evaluation and production. You will design and oversee state-of-the-art AI models, ensuring they are scalable, efficient and robust.
Location: Hybrid in London, with travel to client sites
Salary: £80,000 to £100,000 + Benefits
To be considered
- Minimum of 3 years' experience focused on Generative AI / LLM-based systems.
- Must have led the end-to-end delivery of at least one production-grade Generative AI or LLM solution, from design through to live deployment at scale.
- Background in software engineering, with production experience in PyTorch, TensorFlow and Generative AI frameworks such as LangChain or LangGraph.
- Educational background in Computer Science, Machine Learning, AI, Mathematics, or a related quantitative discipline.
This is an excellent opportunity for a senior AI leader to shape Generative AI strategy at scale, work with world-leading clients, and help build a centre of excellence at the cutting edge of the field.
To find out more, apply now.


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