Senior Data Engineer (on-site) - Active SC

Senior Data Engineer (on-site) - Active SC

Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
Methods Business and Digital Technology

At a Glance

  • Tasks: Design and maintain advanced data infrastructure systems for impactful analytics.
  • Company: Join a forward-thinking tech company making a difference in society.
  • Benefits: Flexible working, wellness support, and generous leave policies.
  • Other info: Collaborative environment with opportunities for personal and professional growth.
  • Why this job: Be part of exciting projects that drive innovation and societal change.
  • Qualifications: Strong Python skills and experience with Azure Data Factory required.

The predicted salary is between 60000 - 80000 £ per year.

This role will include some work on client sites and frequent visits to our main offices in London. We are seeking a seasoned Senior Data Engineer to join our team. This role is essential for designing, building, and maintaining sophisticated data infrastructure systems that operate across both on-premises and Azure cloud environments.

Responsibilities

  • Deploy and manage scalable data operations that support advanced analytics and data-driven decision-making, crucial for our organisational growth and innovation.

Requirements

  • Develop and manage 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.
  • Implement and manage data storage solutions leveraging both on-premises infrastructure and Azure, ensuring seamless data integration and accessibility across platforms.
  • Employ tools such as Azure Data Factory to automate data flows and manage complex workflows within hybrid environments.
  • Utilise event-driven technologies such as Kafka and NATS to handle real-time data streams effectively.
  • Manage security setups and access controls, incorporating tools like Keycloak to protect data integrity and comply with legal standards across all data platforms.
  • Design and develop PostgreSQL databases, ensuring high performance and availability across diverse deployment scenarios.

Essential Skills and Experience

  • Strong Python skills for scripting and automating data processes across varied environments.
  • Demonstrable experience in developing and optimising ETL or ELT workflows, particularly in hybrid (on-premises and Azure) environments.
  • Practical experience with Azure Data Factory in environments.
  • Proven ability in managing and deploying event streaming platforms like Kafka and NATS.
  • Experience with implementing security practices and tools, including Keycloak, across multiple platforms.
  • Strong background in managing Elasticsearch and PostgreSQL in environments that span on-premises and cloud infrastructures.

Desirable Skills and Experience

  • Certifications in Azure and other relevant technologies are highly beneficial and will strengthen your application.
  • 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.

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 dependents included).
  • Worldwide Travel Insurance – which is non-contributory (spouse and dependents included).
  • Enhanced Maternity and Paternity Pay.
  • Travel – season ticket loan, cycle to work scheme.

Senior Data Engineer (on-site) - Active SC employer: Methods Business and Digital Technology

At Methods Business and Digital Technology Limited, we pride ourselves on being an excellent employer that fosters a supportive and collaborative work culture. Our Senior Data Engineers enjoy autonomy in their roles, access to continuous professional development through resources like LinkedIn Learning, and the opportunity to work on impactful projects that contribute positively to society. With flexible working arrangements, generous leave policies, and comprehensive wellness benefits, we are committed to nurturing our employees' growth and well-being in our vibrant London office environment.

Methods Business and Digital Technology

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

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We think you need these skills to ace Senior Data Engineer (on-site) - Active SC

Python
Go
Azure Data Factory
ETL
ELT
Kafka
NATS

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