Lead Data Engineers build data platforms, create data pipelines, integrate datasets, and solve complex engineering challenges for clients, requiring strong software engineering and teamwork skills.
Our Data Engineering roles require the eligibility for SC clearance, please check the GOV.UK website for the requirements before you apply.
We work with some of the UK’s biggest companies and government departments to provide a pragmatic approach to technology, delivering bespoke software solutions and expert advice.
We work with some of the UK’s biggest companies and government departments to provide a pragmatic approach to technology, delivering bespoke software solutions and expert advice.
Our clients are increasingly looking to us to help them make the best use of their data. In building data platforms and pipelines, our data engineers create the foundation for diverse data & analytics solutions, including data science and AI. They build data lakes and warehouses, create the processes to extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models.
These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting technical direction, advising clients or solving tough engineering challenges. You'd also be expected to spend some time on-site with clients in the London area on an ad-hoc basis.
Our data engineers combine a strong software engineering approach with solid data fundamentals and experience with modern tools. We’re technology agnostic, and we’re open minded when it comes to your existing skillset.
What are we looking for?
- Good experience with some of the technologies and approaches typical in modern data engineering and reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data.
- You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc.
- You’ve got a background in software engineering, including Front End technologies like JavaScript.
- You’re a problem-solver, pragmatically exploring options and finding effective solutions.
- An understanding of how to design and build well-structured, maintainable systems.
- Strong communication skills and a collaborative approach to work.
- You embrace the chance to try new things, learn new skills and grow your experience.
It would be great if you have:
- Experience of relevant cloud services within AWS, Azure or GCP.
- Experience working in an Agile environment.
- Experience working with common vendor products such as Snowflake or Data Bricks.
- Experience working with CI/CD tooling.
What you’ll get in return is:
- 25 days’ annual leave, rising to 30 days with each year of service.
- Generous family leave policies.
- Access to an employer pension scheme, private medical services and Group Life Assurance.
- A range of optional benefits such as discounted gym membership and a cycle-to-work scheme.
- A meaningful approach to evaluating your performance and providing feedback on your progress.
At Scott Logic, we value the flexibility of remote working alongside the value gained from spending time with our colleagues and clients. In our offices you’ll find employee-led clubs and events, as well as free games, books, and refreshments.
We have shared values that govern our behaviour toward others and the environment. We are proud to be a B Corp, a global movement of businesses driving for a more inclusive, equitable, and regenerative economy. We believe diversity drives innovation, and embrace a culture where everyone can contribute, irrespective of race, religion, colour, national origin, gender, sexual orientation, age, marital status or disability.
Similar Jobs
Blockchain • Gaming • NFT • Web3
Lead the design and technical direction of Immutable Audience’s data platform. Build real-time streaming infrastructure with Kafka, Flink, and ClickHouse; own BigQuery warehouse datasets and dbt transformations; and establish standards for data quality, testing, observability, cost, and latency. Mentor engineers, guide architecture decisions, communicate trade-offs to stakeholders, and integrate AI tooling into engineering workflows and platform capabilities.
Top Skills:
AWSBigQueryClaude CodeClickhouseCursorDbtFlinkGCPKafkaPythonSQL
Information Technology • Consulting
Lead design and delivery of cloud data platform solutions for banking clients. Own solution design, data modelling, ETL/CI-CD, SQL development, stakeholder engagement, and lead technical project delivery.
Top Skills:
AirflowAlteryxAWSAzureCi/CdCollibraDatabricksDbtFivetranGCPMatillionPythonRedshiftSalesforceSnowflakeSnowproSQLTableau
Artificial Intelligence • Cloud • Information Technology • Consulting • Cybersecurity • Big Data Analytics
Design and lead a cloud-agnostic enterprise data ingestion framework: author solution designs, build and optimize batch/streaming pipelines, embed data quality/lineage/security, and guide engineering squads for scalable multi-cloud data platforms.
Top Skills:
Apache AirflowApache IcebergSparkAWSAzureBigQueryCdcCi/CdCloud ComposerData CatalogDbtDelta LakeDlpGCPIamJavaKafkaKinesisPub/SubPythonRedshiftScalaSnowflakeSQLTerraform
What you need to know about the Sydney Tech Scene
From opera to comedy shows, the Sydney Opera House hosts more than 1,600 performances a year, yet its entertainment sector isn't the only one taking center stage. The city's tech sector has earned a reputation as one of the fastest-growing in the region. More specifically, its IT sector stands out as the country's third-largest, growing at twice the rate of overall employment in the past decade as businesses continue to digitize their operations to stay competitive.


