Senior Data Engineer

Kinetech; England; Hybrid; GBP 63,000 - 77,000; Full time

Benefits offered by this job

Remote working

Support for training and certification

Opportunity for professional development

Job summary

A dynamic technology-focused organisation in the UK is seeking an experienced Senior Data Engineer to design and maintain data infrastructure, manage data migrations, and optimize ETL pipelines. This role offers the chance to work in a fast-paced environment with remote working options and a competitive salary up to £70,000 per annum. Ideal candidates will have strong skills in Python, SQL, and cloud platforms like Azure. Join a team driving major digital transformation and shaping the data strategy of the company!

Qualifications

• Proven experience delivering data migration or integration projects, ideally with ERP/CRM systems.
• Strong technical skills in Python, including libraries such as Pandas and NumPy.
• Hands‑on experience with ETL design, data warehousing, and relational databases.

Responsibilities

• Lead and deliver data migration projects from legacy systems.
• Design, develop, and optimise ETL pipelines and automated data workflows.
• Collaborate across IT and business functions to define data requirements.

Skills

Python

SQL

Azure

ETL design

Data warehousing

APIs

Problem-solving

Analytical skills

Tools

Pandas

NumPy

Postman

Job description

This range is provided by Kinetech. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base Pay

Permanent

We’re looking for an experienced Senior Data Engineer to join a highly acquisitive, fast‑growing organisation that’s driving a major digital transformation. The Senior Data Engineer will be the first hire within the Data Engineering function, and will be responsible for designing, building, and maintaining robust data infrastructure to support the organisation’s expanding data and analytics needs. This includes leading the migration of legacy systems to modern cloud‑based platforms, managing APIs for seamless data exchange, and ensuring data quality, security, and reliability across all systems.

You’ll play a key role in developing and optimising ETL pipelines, automating data workflows, and supporting integration between core business systems such as Microsoft Dynamics. Strong hands‑on experience with Azure, SQL, and Python‑based data engineering is essential.

This is an excellent opportunity for someone who thrives in a scalable, acquisition‑driven environment, enjoys solving complex data challenges, and wants to help shape the data strategy of a dynamic, technology‑focused business.

Responsibilities

• Lead and deliver data migration projects from legacy systems to modern, cloud‑based environments. CRM experience would be highly advantageous here.
• Design, develop, and optimise ETL pipelines and automated data workflows.
• Collaborate across IT and business functions to define data requirements and deliver efficient solutions.
• Manage and maintain data integrations and APIs for seamless information flow between systems.
• Ensure data governance, security, and compliance standards are upheld.
• Support analytics and reporting through high‑quality, structured data models.
• Produce documentation and technical reports covering data models, pipelines, and architecture.

Qualifications

• Proven experience delivering data migration or integration projects, ideally with ERP/CRM systems such as Microsoft Dynamics.
• Strong technical skills in Python, including libraries such as Pandas and NumPy.
• Hands‑on experience with ETL design, data warehousing, and relational databases (SQL).
• Advanced proficiency in SQL and data modelling techniques.
• Knowledge of cloud data platforms (Azure preferred, AWS or GCP also considered).
• Experience working with APIs and tools like Postman for integration testing and troubleshooting.
• Excellent problem‑solving, analytical, and communication skills.

Benefits & Compensation

• Salary: up to £70,000 per annum
• Remote working with team meet‑ups centrally located on a monthly basis.
• Support for training, certification, and professional development
• The opportunity to work within a fast‑moving, acquisition‑driven organisation shaping its data future

Location: London, England, United Kingdom

Please apply today for immediate CV review. The employer plans to appoint before the end of the year for a New Year or early 2026 start.

Kinetech is acting as a recruiter in relation to this vacancy. See our website for more information on how we handle your data.

Seniority level: Mid‑Senior level

Employment type: Full‑time

Job function: Information Technology

Industries: Environmental Services and Engineering Services

Referrals increase your chances of interviewing at Kinetech by 2x