- Collaborate with business stakeholders to gather and analyse business requirements,
- Work closely with application developers to explore data opportunities and ensure
- Lead end-to-end processes following the CRISP-DM process model to deliver high-quality datasets and their applications.
- Design and implement robust ETL/ELT pipelines from a variety of data sources,
- Utilise workflow management tools to build, test, deploy, and maintain scheduled
- Support data analysts in utilising datasets for insights and visualisations, leveraging
- Respond to requests and queries from the business on the support ticket platform.
- Conduct reviews of existing code, processes, and datasets to optimise resources and
- Stay updated with the latest technologies, tools, and best practices in data
- Advanced proficiency in SQL for data querying and transformation.
- Programming skills in Python, including experience with basic libraries like os, csv,
- Experience with Apache Airflow for workflow management.
- Experience with enterprise DBMS (e.g., DB2, MS SQL Server) and cloud data warehouses, particularly Google BigQuery.
- Proficiency in Google Cloud Platform services, such as IAM, Cloud Storage, Cloud Functions, Cloud Scheduler, Cloud Run, Cloud SQLand Cloud Monitoring.
- Basic bash scripting for Linux server interaction.
- Familiarity with Git for version control.
- Experience with BI tools such as Tableau (Desktop/Server/Cloud), Looker Studio, and
- Experience in Azure DevOps and Data Factory is a plus.
- Experience with Docker and Kubernetes for creating portable and scalable
- Experience with ETL tools like Pentaho Data Integration is a plus.
- Analytical thinking with a keen attention to detail and a problem-solving mindset.
- Excellent communication skills, both verbal and written.
- Independent worker with a willingness to take ownership.
- Ability to manage multiple priorities and tasks efficiently.
- Eager to support and uplift IT and business team members.
- Degree in Computer Science or a related field (or equivalent professional experience or certifications).
- 3-5 years of experience in data engineering or a related role.
- Previous work experience in the travel and hospitality industry is a plus.
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Data Engineer
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Lead Data Engineer
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Senior Engineer, Data Engineering - City of London, Greater London, United Kingdom - Miki Travel Europe
Description
Data EngineerAll candidates should make sure to read the following job description and information carefully before applying.
Embark on a Rewarding Journey with MIKI Travel: Where Your Career Takes Flight. At MIKI Travel, our 55+ years of expertise make us a trailblazing wholesale travel provider, curating unforgettable global adventures.
As a premier private travel company with a presence in 36 offices, we invite you to be part of our legacy of excellence.
Immerse yourself in crafting tailor-made tours, group excursions, and ground services that redefine travel experiences. Join our dynamic team driven by a commitment to innovation, customer satisfaction, and lasting partnerships.Fuel your career with opportunities for growth, powered by values of quality, innovation, and commitment that shape the Miki way.
Job Purpose
As a Data Engineer you will be responsible for designing, developing, and maintaining data pipelines and infrastructure to enable efficient data ingestion, processing, storage, and analysis.
The ideal candidate will have a strong background in data engineering, including expertise in building and optimizing ETL processes, data warehousing, and working with big data technologies.
Main ResponsibilitiesRelevant skills / Characteristics
Technical skills