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Modern data engineering tools (Databricks, Snowflake, BigQuery, Synapse) jobs

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Modern data engineering tools (Databricks, Snowflake, BigQuery, Synapse)

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Skill:Modern data engineering tools (Databricks, Snowflake, BigQuery, Synapse)

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1–3 jobs· newest first

Lead Data Engineer
Radius Limited · Crewe, United Kingdom
Senior
Lead Data Engineer
Referrals Only · Bangalore, India
Hybrid · Senior
Data Engineer- Specialist- Financial Services
Publicis Groupe Holdings B.V · Bucharest, Romania

+10K new in the last hour

Lead Data Engineer

Radius Limited · Posted Nov 6, 2026

Crewe, England, United Kingdom
Senior
5+ years

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AI

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Lead Data Engineer responsible for designing, building, and optimizing scalable data platforms and leading a growing data engineering team.

Compensation

In addition to a competitive salary, you’ll have access to a reward and benefits package which includes: Performance-based bonus

Responsibilities

Designing and delivering complex data pipelines and data models at scale
Guiding technical direction across data engineering projects
Collaborating with stakeholders to turn business needs into impactful data solutions
Driving development of our data platform, including AI/ML-ready architecture
Establishing best practices across data governance, quality, and security

Requirements

Bachelor's degree or equivalent
Nice to have: AI
Nice to have: ML tooling
Nice to have: data preparation
Nice to have: data orchestration

Skills

modern data engineering tools cloud platforms ETL/ELT data architecture data quality frameworks AWS Redshift dbt Databricks

Benefits

Performance-based bonus
Pension
Life assurance
Employee fuel card scheme
Electric Vehicle scheme

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Lead Data Engineer

Referrals Only · Posted Nov 5, 2026

Bangalore, India
Hybrid
Senior
10+ years

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Lead and manage data engineering projects from inception to completion, designing modern data architecture and overseeing end-to-end data solutions.

Responsibilities

Lead and manage data engineering projects from inception to completion
Collaborate with stakeholders to understand strategic objectives
Design, develop and operate modern data architecture approaches
Create, design and develop intricate data processing pipelines
Collaborate with data scientists to design scalable implementations

Skills

Big Data architecture Data pipelines Distributed systems Data modelling Modern data engineering tools Programming language Large-scale data pipelines Data visualisation Data security

Data Engineer- Specialist- Financial Services

Publicis Groupe Holdings B.V · Posted Nov 5, 2024

Bucharest, Bucharest, Romania

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Lead a team to design, build, and maintain data pipelines and data platforms for enterprise clients.

Responsibilities

Design, implement, and test data pipelines, ETL/ELT processes, and data storage solutions
Build and maintain scalable, reliable, and high-performance pipelines for structured and unstructured data
Work with big data technologies and distributed systems to process and transform large datasets
Collaborate with data modelers, data scientists, and solution architects to ensure efficient data flows and optimal storage
Partner with data scientists and analysts to deliver clean, well-structured, and accessible data

Requirements

Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)

Skills

ETL/ELT design and implementation Big data ecosystems (Spark, Hadoop, Kafka, Flink)Cloud platforms (Azure, AWS, GCP)Modern data engineering tools (Databricks, Snowflake, BigQuery, Synapse)

Distributed storage platforms

Distributed processing platforms

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Relational and non-relational databases

Data modeling, schema design, and data partitioning

Workflow orchestration tools (Airflow, Data Factory)

Version control (Git)

CI/CD practices

Agile development methodologies

Benefits

Flexible schedule
Medical subscription
Meal tickets
Extra vacation days - starting with 25 vacation days

See full job description