Overview
Senior Data Engineer Jobs in London – England – UK at Miki Travel Europe
Title: Senior Data Engineer
Company: Miki Travel Europe
Location: London – England – UK
Category: IT/Tech, Software Development
Data Engineer 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 ourdynamicteam
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
Responsibilities
● Collaborate with business stakeholders to gather and analyse business requirements, translating them into specific data needs.
● Work closely with application developers to explore data opportunities and ensure seamless integration of data pipelines with existing systems and applications.
● 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, including RDBMS, texts, spreadsheets, and API endpoints, into the data warehouse.
● Utilise workflow management tools to build, test, deploy, and maintain scheduled jobs, ensuring timely data delivery.
● Support data analysts in utilising datasets for insights and visualisations, leveraging BI tools.
● 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 improve data quality.
● Stay updated with the latest technologies, tools, and best practices in data engineering to enhance the business value of data assets. Relevant skills / Characteristics Technical skills
● Advanced proficiency in SQL for data querying and transformation.
● Programming skills in Python, including experience with basic libraries like os, csv, and pandas.
● Experience with Apache Airflow for workflow management.
● Experience with enterprise DBMS (e.g., DB2, MS SQL Server) and cloud data warehouses, particularly Google Big Query.
● 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 Power BI for data visualisation and reporting.
● Experience in Azure Dev Ops and Data Factory is a plus.
● Experience with Docker and Kubernetes for creating portable and scalable environments is a plus.
● Experience with ETL tools like Pentaho Data Integration is a plus. Soft skills
…
