Lead Data Engineer

2 days ago

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OpenCredo

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OpenCredo is a forward-thinking technology consultancy specialising in Cloud Native Architecture and Data Engineering

Continuous Delivery • DevSecOps • AI & Machine Learning • Cloud Native Architecture • Big Data

11 - 50

Description

•Data Strategy & Architecture: Help customers make sense of, and understand their data in the context of what their business is trying to achieve. Create data models and articulate the tradeoffs around different data approaches. Design and Architect complex data platforms and solutions across a variety of different scenarios. •Leadership & Consulting: Provide technical leadership and guidance for our customers and your fellow team-mates in the area of data and data platforms. •Hands On Delivery: Design, Build and Develop modern data architectures which deliver value and provide end-to-end data solutions. Create scalable data processing pipelines and platforms, and productionise machine learning models (MLOps). •Mentoring, Educating & Growing: Advise, educate and help grow customers and colleagues alike on various data related topics. Guide, teach and provide space for OCers to learn their craft, and advance their careers. •Pre Sales Activities: Assist with creating and providing input into proposals, as well as technically liaising and representing OC in pre-sales calls. •Public Speaking (optional). Develop and deliver talks at international conferences, meetups and within the broader community (Help provided)

Requirements

•Customer facing data expert: You will be comfortable advising and guiding customers, confident in your ability to deliver as a technical Data Subject Matter Expert. •Broad range of data expertise across areas such as data strategy, data governance, data architecture, data privacy & security, data lineage, data modelling, cloud data offerings, master data management (MDM) etc •Pragmatic & Versatile Architect Skills: You’re someone who is equally happy coding, whiteboarding and articulating approaches & solutions with customers, or leading a team. You understand core data & architectural principles, yet always seek to blend and balance real world considerations with pure theoretical approaches. •Distributed Systems Experience: You have developed and worked with Big data architectures including delivering event driven solutions. You are aware of the fallacies of distributed computing and how this impacts and relates to complex data platforms and storage solutions. •Innovation & Continuous Learning: You enjoy and actively seek to learn about new technologies and techniques in the Data and AI/ML space. You are an advocate for promoting and incorporating best practices around data and general good software practices into the broader delivery process. •Proven real-world/project experience of at least 3 of the following: •Relational databases/data warehousing (e.g Oracle, DB2, SQL Server, Sybase, Snowflake) •Document databases (e.g. Mongo, ArangoDB, Couchbase, Solr) •Big Data (e.g. Hadoop ecosystem, Bigtable) •Data streaming (e.g. Kafka, Flink, Pulsar, Beam, Spark) •Cloud databases (e.g. Snowflake, CockroachDB) •Other database genres (e.g. Graph, Columnar, time series)

Benefits

•A highly competitive basic salary •5% matched contributory pension •Private Health Insurance •Life Insurance •25 days holiday plus public holidays (plus an extra day for each year of service) •Cycle to work scheme •A high-spec laptop (of course!)