
51 - 200 employees
We are an independent software and technology consultancy who pride ourselves on our ability to deliver complex technology solutions for our clients. We focus on understanding our clientβs business and work with them to deliver change that makes their business more effective. Our multidisciplinary teams are made up of delivery experts, technology and software experts and user experience experts who have the drive, talent and creativity to take strategies from inception all the way through to business adoption.
π April 29
Airflow
Apache
AWS
Azure
Cloud
Django
Docker
ETL
Flask
Google Cloud Platform
Hadoop
Kafka
NoSQL
Postgres
Spark
SQL
Tableau
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51 - 200 employees
We are an independent software and technology consultancy who pride ourselves on our ability to deliver complex technology solutions for our clients. We focus on understanding our clientβs business and work with them to deliver change that makes their business more effective. Our multidisciplinary teams are made up of delivery experts, technology and software experts and user experience experts who have the drive, talent and creativity to take strategies from inception all the way through to business adoption.
β’ You will be responsible for designing, developing, and maintaining data pipelines and systems that enable data analysis and machine learning. β’ You will also collaborate with data scientists, analysts, and other stakeholders to ensure data quality and reliability.
β’ Develop Data Engineering solutions for our clients/projects β’ Design and build data models, schemas to support business requirements β’ Develop and maintain data ingestion and processing systems using various tools and technologies, such as SQL, NoSQL, ETL, Luigi, Airflow, Argo, etc. β’ Implement data storage solutions using different types of databases, such as relational, non-relational, or cloud-based. β’ Working collaboratively with the client and cross-functional teams to identify and address data-related issues and opportunities. β’ Stay updated with the latest trends and developments in the data engineering field, such as modern data stack, big data technologies, cloud computing, etc. β’ Experience in operating as part of data engineering teams and independently. β’ Experience of working with cloud infrastructure (Azure or AWS, GCP is beneficial) β’ SQL and relational databases (e.g. MS SQL/Azure SQL, PostgreSQL) β’ You have framework experience within either Flask, Tornado or Django, Docker β’ Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo β’ Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. β’ Data acquisition and development of data sets and improving data quality β’ Preparing data for predictive and prescriptive modelling β’ Reporting tools (e.g. Tableau, PowerBI, Qlik) β’ GDPR and Government Service Standard (desirable) β’ Passionate, motivated and enthusiastic about developing technology solutions. β’ Experience working in an Agile development environment
β’ Competitive Salary β’ Bonus Scheme β’ Private Healthcare Insurance β’ 25 Days Annual Leave + Bank Holidays β’ Up to 10 days allocated for development training per year β’ Enhanced Parental Leave β’ Paid Fertility Leave (5 Days) β’ Statutory & Contributory Pension β’ EAP with Help@Hand β’ Gym Membership Benefits β’ Flexible Working β’ Annual Away Days/Company Socials
Apply Nowπ April 28
10,000+ employees
πΈ Finance
π€ B2B
π₯ B2C
Data Engineering Technical Lead managing ETL processes and database design for Vanguard's data solutions. Collaborating with clients and mentoring junior engineers in a hybrid work environment.
π’π‘ London β Hybrid
π° $2.5M Secondary Market on 2021-12
β° Full Time
π Senior
π° Data Engineer
π¬π§ UK Skilled Worker Visa Sponsor
π April 28
51 - 200
βοΈ SaaS
π’ Enterprise
π₯ HR Tech
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β° Full Time
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π¬π§ UK Skilled Worker Visa Sponsor
π April 24
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π¬π§ UK Skilled Worker Visa Sponsor