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5 дней назад

Senior Data Engineering Consultant (Databricks)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Data Engineering Consultant (Databricks) (Data Engineering/Analytics): Delivering Databricks data engineering solutions and optimized PySpark pipelines, alongside Power BI dashboards and reports, with an accent on data ingestion, transformation, quality control, and cloud integration. Focus on leading end-to-end technical projects, deploying Azure and Databricks infrastructure, and solving complex stakeholder and delivery challenges across client environments.

Location: London, UK; willingness to work on client sites and travel for extended periods is required.

Company

hirify.global Data x AI is a data management and analytics consultancy that helps organizations create value from data through modern technologies, including machine learning and artificial intelligence.

What you will do

  • Deliver data engineering and analytics solutions using Databricks and PySpark.
  • Develop, optimize, and support data ingestion, transformation, and quality-control pipelines.
  • Build, publish, and maintain Power BI dashboards and reports.
  • Integrate Databricks with cloud platforms and technologies such as Azure, AWS, GCP, and Snowflake.
  • Lead end-to-end technical and project delivery across Agile, Waterfall, Scrum, DevOps, and testing environments.
  • Lead technical or project teams and engage effectively with clients and stakeholders.

Requirements

  • Senior-level experience in data management, data engineering, data warehousing, data modelling, data quality, data integration, analytics, visualisation, data science, or business intelligence.
  • Strong Databricks, PySpark, Python, and SQL skills, including complex SQL query development.
  • Proven experience building and supporting Power BI dashboards and reports.
  • Experience with data ingestion, transformation, quality control, DevOps, and infrastructure deployments using Azure and Databricks.
  • Experience leading technical or project teams and delivering end-to-end projects.
  • Eligible to work in the UK without restriction and willing to work on client sites, travel, and stay away from home for extended periods.

Nice to have

  • Experience with SAS, relational databases, data warehousing, and enterprise ETL tools such as Informatica, Talend, DataStage, or Alteryx.
  • Experience with Hadoop, Spark, Scala, Oracle, Pega, or Salesforce.
  • Financial services experience, line management, team building, mentoring, or staff development experience.

Culture & Benefits

  • 25 days of holiday plus bank holidays, with an option to buy or sell five additional days.
  • Private medical insurance, life cover, pension eligibility with a 5% employer contribution, and an employee assistance programme.
  • BDP Plus reward programme with the option to exchange accrued points for a three-month paid sabbatical or cash equivalent.
  • Cycle-to-work scheme and bespoke online learning through Udemy for Business.
  • Training, professional development, and regional social networking opportunities.

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