Data Engineer Req#351 (London Remote Role)
London
Applications have closed
Protegrity
Protegrity's data protection capabilities allow businesses to de-identify data with persistent protection no matter where it travels.THE OPPORTUNITY: Reporting to the Data Engineering Management, the Data Engineer is a critical position that will help Protegrity strengthen its data analytics capabilities. This person will work closely with the overall business to drive continued advancements in the development and implementation of data analytics. The individual will solve complex problems with a focus on timely delivery and ownership of results. The role will require strong skills in the analytics ecosystem and creative problem solving.
RESPONSIBILTIES:
- Support, define and build the data, analytics and AI stack.
- Define, build and support the analytics and business intelligence (BI) reports.
- Manage the building of the data platform for analytics and BI.
- Automate all aspects of the data, analytics and AI stack with DevOps.
- Work with all departments on collecting requirements for analytics and BI and implement them accordingly
- Clearly document and communicate the outcomes of initiatives and make sure that the results can be clearly understood by business stakeholders.
- Inspire and promote the adoption of advanced analytics across the entirety of our organization and provide expertise for the broader applied analytics team.
- Guide junior team members as appropriate, and support the development of tools, models and documentation.
- Support sprint/work design and planning.
REQUIRED QUALIFICATIONS:
- 5+ years of hands-of experience in an analytics ecosystem
- Team player with a problem-solving attitude
- Experience of delivering advanced analytical projects to large, complex organizations in a multi-functional environment.
- Able to challenge and review the quality and value generated from analytical output.
- Focus on driving business value to support long term relationships.
- Ability to support team members, ensuring the culture and strategy gets followed by new hires.
- Bachelors Degree in Data Science, Applied Statistics, Business Analytics or related field
SPECIFIC SKILLS:
- Strong oral and written communication skills
- Hands-on experience with AWS and Azure Cloud
- Hands-on experience with Kubernetss and Docker and respective container storages repos
- Hands-on experience with Terraform, Ansible and other DevOps tools
- Hands-on experience with Snowflake, Redshift and/or other database engines
- Hands-on experience with PowerBI, Qlik or other BI tools
We offer a competitive salary and comprehensive benefits with generous vacation and holiday time off. All employees are also provided access to ongoing learning & development. Ensuring a diverse and inclusive workplace is our priority. We are committed to an environment of acceptance where you are free to bring your full self to work. All qualified applicants and current employees will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability or veteran status.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Ansible AWS Azure Business Analytics Business Intelligence Data Analytics Databricks DevOps Docker Engineering Machine Learning ML models Oracle Power BI Privacy Qlik Redshift Security Snowflake SQL Statistics Teradata Terraform
Perks/benefits: Career development Competitive pay
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