At a Glance
- Tasks: Design and manage data pipelines using Python/Go/Azure for real-time and batch processing.
- Company: Join Methods, a forward-thinking tech company with a focus on innovation.
- Benefits: Enjoy flexible working, 25 days leave, wellness support, and exciting social events.
- Other info: Opportunities for professional development and community volunteering.
- Why this job: Make a real impact on society through exciting projects in a collaborative environment.
- Qualifications: Strong Python skills and experience in ETL/ELT workflows are essential.
The predicted salary is between 63000 - 77000 £ per year.
Methods Business and Digital Technology Limited is currently recruiting for a Data Engineer to join our team on a permanent basis. This role will include some work on client sites and frequent visits to our main offices in London.
Responsibilities
- Develop and Manage Data Pipelines: You will design, construct, and maintain efficient and reliable data pipelines using Python/Go/Azure Data Factory, capable of supporting both streaming and batch data processing across structured, semi-structured, and unstructured data in on-premises and Azure environments.
- Hybrid Cloud and Data Storage Solutions: Implement and manage data storage solutions leveraging both on-premises infrastructure and Azure, ensuring seamless data integration and accessibility across platforms.
- Workflow Automation: Employ tools such as Azure Data Factory to automate data flows and manage complex workflows within hybrid environments.
- Event Streaming Experience: Utilize event-driven technologies such as Kafka and NATS to handle real-time data streams effectively.
- Security and Compliance: Manage security setups and access controls, incorporating tools like Keycloak to protect data integrity and comply with legal standards across all data platforms.
- Database Development: Design and develop PostgreSQL databases, ensuring high performance and availability across diverse deployment scenarios.
Qualifications
- Strong Python Skills: Expertise in Python for scripting and automating data processes across varied environments.
- Experience with ETL/ELT: Demonstrable experience in developing and optimizing ETL or ELT workflows, particularly in hybrid (on-premises and Azure) environments.
- Proficiency in Workflow Automation Tools: Practical experience with Azure Data Factory in environments.
- Experience in Event Streaming: Proven ability in managing and deploying event streaming platforms like Kafka and NATS.
- Data Security Knowledge: Experience with implementing security practices and tools, including Keycloak, across multiple platforms.
- Search and Database Development Skills: Strong background in managing Elasticsearch and PostgreSQL in environments that span on-premises and cloud infrastructures.
Desirable Skills
- Certifications in Azure and Other Relevant Technologies: Certifications in cloud and on-premises technologies are highly beneficial and will strengthen your application.
- Experience in Data Engineering: A minimum of 5 years of experience in data engineering, with significant exposure to managing infrastructure in both on-premises and cloud settings.
- Some DevOps Engineering experience would be preferable.
Security requirements: This role will require you to hold Active SC, with the willingness to progress to DV. As part of the onboarding process candidates will be asked to complete a Baseline Personnel Security Standard; details of the evidence required to apply may be found on the government website Gov.UK. If you are unable to meet this and any associated criteria, then your employment may be delayed, or rejected. Details of this will be discussed with you at interview.
Benefits
- Autonomy to develop and grow your skills and experience.
- Be part of exciting project work that is making a difference in society.
- Strong, inspiring and thought-provoking leadership.
- A supportive and collaborative environment.
- Development – access to LinkedIn Learning, a management development programme, and training.
- Wellness – 24/7 confidential employee assistance programme.
- Flexible Working – including home working and part time.
- Social – office parties, breakfast Tuesdays, monthly pizza Thursdays, Thirsty Thursdays, and commitment to charitable causes.
- Time Off – 25 days of annual leave a year, plus bank holidays, with the option to buy 5 extra days each year.
- Volunteering – 2 paid days per year to volunteer in our local communities or within a charity organisation.
- Pension – Salary Exchange Scheme with 4% employer contribution and 5% employee contribution.
- Life Assurance – of 4 times base salary.
- Private Medical Insurance – which is non-contributory (spouse and dependants included).
- Worldwide Travel Insurance – which is non-contributory (spouse and dependants included).
- Enhanced Maternity and Paternity Pay.
- Travel – season ticket loan, cycle to work scheme.
For a full list of benefits please visit our website.
Senior Data Engineer (on-site) - Active SC in London employer: Methods Business and Digital Technology
Methods Business and Digital Technology Limited is an exceptional employer that prioritises the growth and well-being of its employees. With a strong focus on collaboration, autonomy, and professional development, team members are encouraged to enhance their skills while contributing to meaningful projects that positively impact public services. The supportive work culture, combined with flexible working arrangements and a commitment to employee wellness, makes Methods a standout choice for those seeking a rewarding career in IT consultancy.
Contact Details:
Methods Business and Digital Technology Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer (on-site) - Active SC in London
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We think you need these skills to ace Senior Data Engineer (on-site) - Active SC in London
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